Data Scientist Resume: Sample and Free Template [2020]

Use these Data Scientist Resume Sample Bullets to create your Resume and land your dream job. All of these can be accessed for free in our in-product Data Scientist resume templates. Explore them below.

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  • Performed a wide range of data mining and statistical analyses for the purpose of developing and implementing a data management system for the company
  • Performed analysis of the data to predict future performance of the system
  • Performed the analysis of data from various databases to identify and resolve problems in the production of data
  • Performed quality assurance and data collection for the following projects
  • Performed real time data analysis and modeling of the neural networks
  • Performed statistical analyses of research projects, and prepared data for publication
  • Performed analysis of database and developed a new query to retrieve data from the database
  • Performed statistical analyses of a wide range data collection and reporting systems
  • Performed statistical analyses of raw materials and processed finished product to determine the best method of processing
  • Performed quantitative and predictive modeling of the data using MATLab
  • Performed quantitative and predictive analyses of the performance data to support business objectives, including the development of statistical and analytical reports
  • Performed extensive analysis of database to identify and solve complex issues
  • Performed analysis of the various datasets to identify and analyze the various trends in data
  • Performed a variety of analyses to support the design and development of a new data management system
  • Performed quantitative and statistical modeling of the economic performance and profitability
  • Performed simulations of the data and presented findings to senior management for review
  • Performed simulation and analysis of the neural networks
  • Performed complex analysis of database performance and data quality using SQL
  • Developed a model to predict the probability of a certain type and size
  • Developed new and innovative methods to increase the quality of life for patients and their family members
  • Developed new and modified existing data models for the analysis of a variety data sets
  • Developed automated testing scripts to automate the test cases and validate results
  • Developed models to analyze the effects of a new drug on the human body
  • Developed SAS programs to analyze the performance of a large-scale data warehouse
  • Developed software to track and report on the progress of a project
  • Developed software to automate the data entry of customer information into the company database
  • Developed a novel algorithm to analyze the effects of a chemical on anaerobic bacteria
  • Developed an algorithm to analyze the data of a small company using Python, Mathematicas and C#
  • Developed new method to quantify the effects of a protein on human cell proliferation
  • Developed new methods to automate the process of analyzing
  • Developed the first ever, high quality data analysis software for the US Air Force
  • Developed an Access to Datastore for the data management system
  • Developed reports for the use of various data management applications and databases
  • Developed methods to quantify the impact of a variety factors on the quality of data collection
  • Developed several statistical tools to improve the efficiency of data analysis
  • Developed detailed and accurate data management reports for the Department of Defense
  • Developed and implemented a data management system for the Department of Energy
  • Developed a new model to analyze the relationship between a given product and its constituent constituents
  • Developed the first comprehensive analysis of a major oil and gas exploration company's capital budget
  • Developed an automated statistical process to analyze the results of data collection and analysis
  • Developed automated algorithms for the detection of a variety types and quantities
  • Developed custom reports for the Business Intelligence department using SSRS and SQL Server 2005
  • Developed detailed models for the development of a predictive algorithm for the detection of a novel drug
  • Developed test plans and procedures for the development of data collection and reporting systems
  • Developed algorithms for the development of a novel method for the identification of a protein in an algal species
  • Developed, implemented and managed a Python script to analyze and interpret the data from a variety of sources
  • Developed software to predict the probability of a particular product
  • Provided support to the Data Analyst in developing and implementing the Data Warehouse for a large scale project
  • Provided support to the development of a new model for the prediction of future events
  • Provided qualitative and statistical data for the analysis of a large-scale data collection
  • Provided design and implementation of a Python application to automate the process of calculating and reporting on the data
  • Provided project status updates to the team and stakeholders, as well
  • Provided analysis and interpretation of the results
  • Provided design and analysis of a novel method for the detection of a protein in human blood
  • Provided reports and analyses to the senior leadership on a daily basis
  • Provided analytical and financial data for the Department of Homeland security
  • Provided a full spectrum of data management and analytical functions for the development of a large-scale data management program
  • Provided an interface between the Data Science and Business Objects modules
  • Provided high quality, accurate data for the purpose of improving statistical analysis, and to provide a more effective, accurate and cost efficient data source
  • Provided recommendations for the implementation of a data collection tool
  • Provided support to the development of a data analysis model for the purpose of analyzing and reporting on the effectiveness of a new system
  • Provided the best solution to a variety of technical issues
  • Provided assistance to the Finance and Accounting Department in preparing financial reports for the State of Texas
  • Provided training and mentored new employees on the software
  • Provided solutions to the business and technical issues that were identified in the project
  • Provided statistical analysis and design of a novel algorithm for the identification of a new gene
  • Created a new Excel spreadsheet to improve the efficiency of data entry
  • Created the model to predict a new feature in the data warehouse
  • Created Excel reports for the analysis of data and statistics for the department of health
  • Created SPS-C and SAS programs to perform statistical analysis of the data
  • Created SQL reports for the analysis of data from various databases
  • Created detailed reports for the department and provided technical assistance to the department's engineers
  • Created & maintained a database of all the current and past data for a large-scale project
  • Created and implemented a data model to analyze the impact of a new software product on the production of a variety
  • Created, maintained a library of Natural language Processing data and trained new hires
  • Created an automated system to track the progress of a student's learning curve
  • Created tables and functions to extract, manipulate data from various sources
  • Created new reports for the company and maintained existing data base
  • Created training material for use in the development of new algorithms
  • Created Python scripts to perform the calculations and analysis of data for the purpose
  • Created several new HBase applications for the data mining and analysis of large scale datasets
  • Assisted in the design and implementation of a machine-learned algorithm for the identification of a new type
  • Assisted with the design and implementation of a Python script to automate the data entry of a large volume
  • Assisted the team in developing a new method to measure the effect of a novel drug on the production of a protein in an experimental animal
  • Assisted students with the development of a novel method for the analysis of language
  • Assisted professor in the development of a machine-learning algorithm for the detection of a novel drug
  • Assisted professor in the development of a new data management program
  • Assisted and trained in the design, analysis of complex and non-conforming datasets
  • Assisted professor in the development of a database for data collection
  • Assisted and mentoring students in the use of Microsoft Excel, Word and PowerPoint
  • Assisted professors with the development of a novel method for the analysis of natural language
  • Assisted a professor in the research of data quality and statistical analysis
  • Assisted professors in the development of a new method for the analysis of data
  • Assisted senior analyst with data entry and analysis of the company's financials
  • Assisted engineering department with the design and implementation of a machine learning algorithm for the purpose of predicting and detecting a specific product
  • Assisted in the creation of a statistical analysis for the annual budget
  • Assisted the team in developing a new software for the analysis of data in a real-time manner
  • Assisted and trained staff in the development of new data management systems
  • Assisted customers with technical support and billing questions regarding cable service
  • Assisted customers with questions about the product and services provided, as well the products and services provided
  • Assisted researchers in the analysis of data from a wide array datasets
  • Assisted on the research of a novel protein in the pathogenesis of diabetes
  • Assisted on the project of a major research paper, 'The Role of the Bacterial Growth factor in a Virus Infected with the Streptococci'.
  • Assisted and mentor in the design, coding of a Python script to automate the process of generating and uploading reports to the database
  • Assisted team in creating a test case for the project and performed testing of it
  • Assisted senior analyst with analysis of the business intelligence model, and developed a new business intelligence model for the US Air force
  • Assisted senior scientists in the analysis of data from various research projects
  • Assisted users with the use of scripts and data mining techniques
  • Assisted with the design and implementation of a Python based software for the analysis of data
  • Assisted the Principal Investigators in developing a new statistical software package for the study of human behavior
  • Assisted customers with the design and development of a web-enabled application
  • Assisted scientists in the research of new and emerging technology
  • Assisted Professor in the research of a new method for the identification of a protein in human tissue
  • Assisted researchers in the analysis of data from a wide variety datasets, including the following
  • Assisted on the design and implementation of a web application for the company's internal and external clients
  • Assisted scientists in the research of a new protein-protein hybrid
  • Assisted students in the research of data and statistical techniques
  • Assisted and supported the design, development of a data collection tool for the Department of Energy (DO EEC).
  • Assisted and trained in the design, implementation of a new Python script to analyze the data and generate a statistical model for the analysis of data
  • Assisted engineers in the analysis of data from multiple systems
  • Assisted senior scientists in the design and analysis of a new
  • Managed and performed database design for a new data center in the US, including design and development of a new database schema and data model
  • Managed several large projects, which involved the creation of a new data mining tool for the company
  • Managed over $100 million in research and analysis of the Econometric Model
  • Managed software projects for a leading provider of software and data management solutions for the automotive industry
  • Managed daily laboratory activities, performed data collection and reporting
  • Managed large-volume of high volume, complex data collection projects
  • Managed the research and data management of a multi million dollars project
  • Managed and implemented a large data warehouse for the US Census Bureau
  • Managed projects for the design and implementation of a novel machine learning algorithm for the purpose of improving performance and accuracy
  • Managed team of 10 engineers and designers to create a web-based database for the company's business
  • Managed and maintained the development of a Docker image for the application using Jenkins
  • Managed a team of analysts and data scientists to support the project and provide analytical data to the project
  • Managed multiple projects and worked with a diverse team of engineers and project managers
  • Managed multiple projects and initiatives for the organization, which included a new product development and implementation process, a cost savings plan and an overall process change
  • Managed development of a web application for the Department of Defense (DOD), providing a database for the purpose of tracking and analyzing data
  • Managed research projects for the National Cancer Information Center, including data analysis and research
  • Analyzed and interpreted the results of statistical analyses to identify and resolve problems in the statistical process
  • Analyzed results of data collection and statistical methods to develop a comprehensive report for the Department of Energy
  • Analyzed, analyzed and reported on the data for a large-scale, multiyear project
  • Analyzed statistical and data analysis of the Big-Picture
  • Analyzed experimental design and data analysis to determine the effects of a novel
  • Analyzed daily, monthly and yearly financial data for the company
  • Analyzed customer's needs and requirements to determine the most efficient and effective method of data collection
  • Analyzed and designed a web based database for the use of a variety data sources
  • Analyzed the results of data visualization and presented them to the senior management for approval
  • Analyzed the performance of a data collection project by performing statistical analysis on the data collection
  • Analyzed results of the analysis and made suggestions for improving the statistical model to improve its performance
  • Analyzed results of the analysis and reported findings to senior level management
  • Analyzed the results of data collected from various research groups
  • Analyzed multiple datasets to develop a new method for the detection of a protein in human blood
  • Analyzed water samples for the analysis of soil and sediment
  • Analyzed the performance of a large-volume, automated data processing software
  • Analyzed SQL queries to extract and analyze information from the data warehouse and to create a database for the analysis of data
  • Analyzed, interpreted and evaluated the results of data collected from multiple databases
  • Analyzed complex and highly-sensitive data to determine the nature of a problem and to determine the best solution
  • Analyzed all the information from multiple sources to produce a comprehensive, accurate and complete data set
  • Analyzed network traffic and data for the development of a new application for the
  • Analyzed statistical and nonlinear models to predict the future of a given product
  • Analyzed multiple datasets to develop a comprehensive statistical analysis of the distribution and use patterns in a variety of industries
  • Analyzed financial information and developed a comprehensive report for the Board of Trustees
  • Analyzed multiple data sources to develop a new algorithm for the analysis of a novel
  • Analyzed results of a new software program to improve the accuracy of data
  • Perform statistical analyses of data to identify and quantify the effectiveness of programs, policies and procedures
  • Perform analysis of the data and make decisions on how to improve the quality of data
  • Perform basic calculations and analysis of the physical data in a variety of statistical models
  • Perform complex analysis of data to determine the impact on business performance
  • Perform routine and scheduled tasks to ensure the integrity of data
  • Perform analysis of the results and provide statistical analysis of the data to support business objectives
  • Perform a variety of duties related to the development and maintenance of statistical data
  • Perform complex analysis of database data to determine the extent of errors in data entry
  • Perform complex analysis of statistical models to predict the effects of climate on human population
  • Perform complex calculations and analyses of data
  • Provide analysis and reporting of the performance metrics for a large-scale project
  • Provide design and implementation of a Python application to analyze the data and generate reports
  • Provide design and implementation of a new data collection tool for the company's
  • Provide high quality data visualization and modeling for the design of artificial intelligence models
  • Provide analysis of the performance and efficiency in a large data collection project using the GIS software
  • Provide advanced statistical modeling and data visualization to improve the efficiency of data processing
  • Provide assistance to the development and implementation of SQL database applications for the Department of Energy
  • Provide project management and analysis of data from various databases
  • Provide detailed analysis of business processes and data to identify areas of opportunity
  • Provide solutions to the problems of data quality and reliability
  • Maintained a working relationship with the students and faculty to provide a safe, fun and educational environment for the students
  • Maintained the database of all new and current students, including the student data base
  • Maintained all lab instruments and data files, performed routine laboratory tests and maintained lab supplies
  • Maintained an open communication with the project manager and other stakeholders
  • Maintained high standards of customer satisfaction and quality service during fast-paced, high volume operations
  • Maintained database of over 100+ data sets for the entire company
  • Maintained high level of accuracy and quality in the development of new products and processes
  • Maintained, developed and implemented a new model for the data collection and reporting of a large-volume, multiyear study
  • Maintained customer relationships and provided support to the sales force by providing technical and customer service support
  • Maintained records of the data and analyzed results to identify areas of improvement and recommended changes
  • Maintained multiple datasets for the analysis of data and statistical modeling
  • Maintained MS Excel spreadsheet for tracking and analyzing the results of data
  • Maintained and managed the production of a large data base for the Department of Defense
  • Maintained a working understanding of the human language and how they are used in the natural language processing
  • Maintained all aspects of the database, from design to implementation
  • Maintained high quality of laboratory work by performing routine tests and procedures
  • Maintained detailed and organized documentation of the data
  • Maintained, troubleshooting & maintained the data collection and processing of over 100,00 data sets
  • Maintained various databases and performed statistical analyses of various types and sizes
  • Maintained Oracle databases and created stored procedure for creating new Oracle databases
  • Maintained current and up keep of the company database and other related information in the computer system
  • Maintained and updated the statistical database of all data in the department, including statistical tables and charts
  • Maintained the database of over 200, 000 documents and data files for the US Department of Energy
  • Maintained a database of the data in Oracle and used it to generate reports
  • Maintained database of over 500 data sources for the development of a comprehensive data analysis program
  • Maintained an accurate and up to date inventory of the entire department, including all product
  • Maintained accurate records of patients care, conditions progress and concerns in a timely fashion
  • Maintained high standards of accuracy and efficiency in all statistical analyses, including the analysis of data from multiple databases
  • Maintained all aspects of the project including budget, scope and time lines
  • Maintained, analyzed and interpreted the data for a wide variety of applications
  • Maintained high level of accuracy and efficiency in the processing of all incoming and receiving
  • Maintained statistical and analytical tools for the development of statistical models and data analysis
  • Maintained up-to - date knowledge of all lab equipment and processes
  • Maintained a high standard of quality and accuracy for all data analysis
  • Designed and implemented a new data collection tool for the University of California
  • Designed, coded and implemented a data analysis program for the National Cancer Information System
  • Designed automated and non-automatic algorithms for the analysis of data
  • Designed automated and semi-automatic test cases for the purpose of analyzing and evaluating data
  • Designed & developed a new method to measure the accuracy of a data entry system
  • Designed and developed a database to analyze the number of new and existing patients admitted to the hospital
  • Designed a web based system to manage the database of all students
  • Designed the statistical analysis of data from a wide array sources to support the development of a new statistical analysis program
  • Designed new software for the company to analyze and improve data quality
  • Designed an automated test plan for a large data analysis system
  • Designed automated and semi -structural data analysis programs for the purpose of analyzing and reporting on the quality of data
  • Designed several experiments to evaluate the effect of a gene on language development in the brain
  • Designed and implemented a data warehouse for the company to track and analyze data
  • Designed a web application to automate the processing of customer orders and payments
  • Designed new and modified a variety of data sources for the analysis and reporting of data
  • Designed database for the use of statistical data analysis tools
  • Designed custom reports for the data warehouse, and performed analysis of the data
  • Designed reports for the Business Intelligence team to analyze and report on the business process
  • Assist professor in the development of a new python program to analyze the effects of a novel drug on the human body
  • Assist professors in the development of a mathematical algorithm for the analysis of data
  • Assist Professor in the development of a Spark application to collect data from a variety of sources
  • Assist scientists in the development of data analysis and reporting for the National Cancer Institute
  • Assist research and analysis team in the design, implementation and evaluation of a new data collection system
  • Assisting in the development of a new software for the analysis of data
  • Assist in the preparation of statistical models for data analyses and analysis
  • Assist scientists in designing and modeling the prediction of future climate
  • Assist Professor in the design and implementation of a database for the purpose
  • Assist a professor in the design and implementation of a data collection system for the Department of Energy
  • Assisting in the implementation of a Python based data collection system
  • Assist team in development of new Python scripts for the production of a large scale data warehouse
  • Assist with the analysis of statistical data and provide reports to the senior management
  • Assist the team in gathering and analyzing information from the data to create a detailed analysis of the data
  • Assist customers with the design and implementation of their own BigData applications
  • Assist users with the use of SQL queries to create reports and data tables
  • Assist scientists in the identification of novel proteins and nucleic acid sequences
  • Assist clients with the creation of statistical models and reports
  • Assist clients with the application of their research and analytical skills to the field of environmental science
  • Assist team in the design and development of a data collection tool for the purpose of collecting and analyzing information from the public
  • Assist on the design and implementation of a Python script to generate and analyze a data collection
  • Assist to develop and test the new software for Machine Learning and Data Mining
  • Assist on the design and implementation of a SAS database for the Department of Homeland Defense
  • Collected information from the database and created queries to determine the data
  • Collected requirements and developed a web- based tool to track the performance of a large data warehouse
  • Collected and interpreted statistical information from the laboratory to develop a statistical analysis of the data
  • Collected and reported on the results of statistical analyses and data collection activities
  • Collected and interpreted data from the laboratory to support research projects
  • Collected qualitative and data related to the design, testing of a new
  • Collected all relevant samples and performed quality assurance tests to determine the accuracy of data
  • Collected and analyzed the statistical information from various data collection methods to develop a report for the Director of Research
  • Collected and analyzed information from the data to develop a comprehensive statistical analysis of the current state and future trends in the industry
  • Collected statistical information from the laboratory and prepared reports for presentation to the scientific team
  • Collected customer feedback and makes changes to improve customer service satisfaction rates and productivity
  • Collected raw and finished data from various databases
  • Project management and implementation of a computer-generated data model for the purpose of evaluating and improving existing data collection processes
  • Projection and analysis of business data
  • Project Leader for the design and implementation of a data mining tool for the US Census Bureau
  • Project manager for the implementation of a data management tool for the company
  • Project lead for the design and development of a large-volume data mining application
  • Maintain statistical and analytical data for the development of a new predictive model for the prediction of future food and beverage demand
  • Maintain strong understanding of the current and emerging trends in predictive modeling
  • Maintain an accurate and up keep of the lab data base
  • Maintain strong understanding of the data and trends in order to provide accurate and timely forecasts
  • Maintain a database of the data collected from various surveys
  • Maintain the integrity of data by analyzing and interpreting results
  • Maintain quality control of the raw data and prepare for analysis by the data scientist
  • Analyze the results of data collection and analysis to identify areas of improvement and recommend solutions
  • Analyze statistical information and develop reports for the department's statistical analysis
  • Analyze information from multiple sources to produce statistical and analytical data
  • Analyze software and process data to identify trends in the performance of a project
  • Analyze complex datasets to determine the best way of improving performance
  • Analyze datasets to identify potential risks and trends, develop statistical models to analyze data
  • Analyze statistical results and formulate solutions to complex analytical challenges
  • Analyze quantitative and numerical datasets to develop models for the purpose of predicting future events
  • Analyze trends and develop new statistical methods to support the development of statistical models
  • Answer questions from the public about data collected and analyze the results
  • Conducted analysis of the data and created a Python program to analyze the results
  • Conducted field observations and performed data collection
  • Conducted quantitative and statistical analysis of the effects on human body composition and function
  • Conducted field experiments and performed data collection
  • Conducted studies on the effects of a new method on the data
  • Conducted onsite and remote site research for the purpose of developing and maintaining a comprehensive database of the data collected
  • Conducted the analysis of data from a large-volume dataset
  • Conducted research on the relationship between human and environmental stress in the workplace, including data collection and interpretation
  • Conducted analysis of statistical trends and data to develop a plan for improving the quality of data
  • Conducted regression and analysis of the results using a statistical analysis tool
  • Conducted analyses of various datasets to identify and document the impact of various changes in data
  • Conducted SAS and Pareto analyses to identify trends in the data collection process
  • Conducted analysis of the performance and efficiency data from a variety of different sources
  • Conducted field research on the use of a new algorithm to classify and analyze a dataset of the human genome in a laboratory environment
  • Conducted statistical analysis of a variety data sources to identify and resolve problems
  • Conducted qualitative and regression tests of the statistical methods and data
  • Prepared and maintained reports for the Department of Energy's (DOE), DOE and other agencies
  • Prepared statistical models for the development of a novel product for the purpose of evaluating and predicting future market conditions
  • Prepared statistical models for the development of a novel method for the identification of a new species
  • Prepared experiments for the study of human growth and differentiation in the lab, including data collection and interpretation
  • Prepared the first ever study of a novel, high throughput protein-protein hybridization assay
  • Prepared, coded and analyzed statistical reports for the department of health
  • Prepared for and conducted research on the effect of a new product on the human brain
  • Prepared, analyzed and interpreted statistical reports for the Department of Energy
  • Prepared detailed analysis of the current data and developed a solution to improve the data
  • Prepared experimental design and data collection for the purpose of designing and developing a new algorithm for the prediction of a given object
  • Prepared statistical analysis of the distribution and use in a research study
  • Prepared detailed models for the prediction of future growth and demand
  • Prepared for and performed analysis of the new software, which was used to create a new database for the data
  • Prepared all the required data for analysis and report
  • Prepared weekly and quarterly sales forecasts for the business intelligence department
  • Prepared and analyzed statistical analysis of data for the Department's National Science Foundation grant
  • Prepared statistical reports and analysis of data for the purpose
  • Prepared detailed reports for management and senior leadership on the progress of projects
  • Prepared experiments for the lab and performed data collection for the laboratory and other research activities
  • Prepared, analyzed and presented results of data collection, analysis and interpretation
  • Prepared weekly and bi monthly statistical reports for the Division of Health Services
  • Prepared project status report for the team and communicated with stakeholders to resolve issues
  • Prepared SQL queries for the analysis of business requirements, and developed the SQL code for data validation
  • Prepared experimental design and analysis, statistical analyses of experimental data
  • Recorded all the information in a database and made the data available to other researchers
  • Recorded information about the quality of materials and made decisions about the most efficient methods of processing them
  • Recorded detailed statistical and dimensional information for the purpose of developing a statistical analysis tool for the purpose of evaluating and improving existing processes
  • Recorded results of research in the lab and performed data collection
  • Recorded detailed and comprehensive statistical analysis of the results
  • Recorded quantitative and predictive variables in the statistical models for a large scale project
  • Manage the development of statistical models for a large scale project
  • Manage a large team of analysts and data scientists to support the development of a large data collection project
  • Manage statistical and analytical data for the development of statistical models
  • Manage and develop a web based database for the company to track and analyze data
  • Manage development of a web based tool for the analysis of data
  • Manage large projects in the development of a large data mining system
  • Manage, analyze and document the data for a wide variety of studies
  • Utilized a computer to create and analyze the results of a variety test data sets
  • Utilized Excel to track and analyze the production of data for a variety projects
  • Utilized SAS to create reports and graphs for the department's financial reporting and analysis
  • Utilized SPC to create and maintain a statistical analysis of the data for a variety projects
  • Utilized MS Access to create and track metrics for the department
  • Utilized statistical methods to analyze the performance of a variety software applications
  • Utilized Excel to analyze data for the development of a statistical model for the development of a new business
  • Utilized advanced software to analyze and predict the flow of water in aqueous and liquid environments
  • Utilized standard and non-systemic formulas to calculate the number of parts per hour (KP) for the production of a variety products
  • Utilized software to model the dynamics of a water treatment system
  • Utilized statistical methods to determine the most cost efficient methods of producing and maintaining data for the purpose of improving efficiency and effectiveness
  • Utilized the Java API to extract and transform a database from the Java data source to a SQL database
  • Utilized a database to organize and maintain the current information on all of our clients
  • Utilized Microsoft Office, MS Project and other applications to produce statistical reports, graphs,.
  • Utilized knowledge of the principles and methods involved in physics
  • Utilized advanced statistical software to develop and maintain data for the purpose of evaluating and predicting future trends in the oil and naturalgas markets
  • Utilized in the analysis of data from various systems to determine the most appropriate method of data collection
  • Utilized various analytical tools to develop and analyze statistical reports, data analysis tools and other analytical methods
  • Utilized Microsoft Access to analyze, interpret and present results of data
  • Utilized an Oracle Database to manage and track project data for the development of a project management tool
  • Utilized SAP to develop and manage the Sustainable Planning (SP), Sustaining, and Environmental Management systems
  • Utilized various tools to extract and manipulate information from SQL queries
  • Utilized dynamic and nonparametted models to analyze the performance of a large data collection project
  • Utilized in the analysis of data from a wide array sources to develop and implement a new method for the identification of a new product
  • Utilized the C language to develop a new data warehouse for the US Army
  • Utilized SAS to create and maintain statistical data for the department of Health and Safety
  • Utilized simulation software to create a model of the process
  • Utilized SQL Server to extract and manipulate information from a variety of databases
  • Utilized advanced programming techniques to create and maintain a Python script to generate and test a variety of data
  • Utilized extensive research and data collection to identify, develop new products and processes
  • Utilized in-depth understanding of the human genome to develop a new synthetic DNA
  • Utilized an Agnostic Architecture to create a new Data Warehouse for the company
  • Utilized strong analytical and technical abilities to develop, analyze data and formulate analytical recommendations for the purpose of improving quality and efficiency
  • Utilized statistical analysis to develop a model for the detection of cancer in mice
  • Utilized computer skills to research and analyze the structure of a fluid system
  • Utilized SQL Server to perform analysis of the database and created a SQL Server report to track the results
  • Utilized multiple analytical methods to develop and validate the data for a new product
  • Utilized JAVAS, Python Scripts and SQL Server to develop a new data warehouse for the US Census
  • Utilized Rational Rose to perform analysis of the database and created a SQL query to retrieve data from the system
  • Review and analyze results of data collection
  • Review, analyze and interpret results of data collected from the National Cancer Information System
  • Review reports and analyze data to identify areas of opportunity and develop actionable recommendations
  • Review project progress and provide recommendations for improvements to the Dashboards
  • Review existing code and develop a custom solution to automate the process of generating reports
  • Reviewed and edited all published research reports, data tables and graphs to ensure that the data were properly formatted and maintained
  • Review and Analyzed ECONometric datasets for the purpose of improving data integrity and reporting
  • Reviewed and edited all data for the project and presented results to senior staff
  • Reviewed and evaluated the results of a research paper
  • Review new and updated data from the previous year to ensure data is accurate and up to code
  • Compiled and presented statistical data for the purpose of analyzing and summarizing data
  • Compiled a database of over 200 different types and datasets for the purpose of analyzing and reporting on the data
  • Compiled statistics and statistical data for the development of a novel
  • Compiled information from multiple sources to create statistical models for the purpose of evaluating and predicting future trends in the health of animals
  • Compiled & Analyze data from various databases to produce a report
  • Compiled and presented results of research
  • Compiled, organized statistical reports and graphs for the Department of Energy
  • Compiled reports and graphs for the purpose of evaluating and improving statistical methods
  • Compiled results and reports for management
  • Compiled reports and analyzed results of statistical analyses for the department
  • Compiled and analyzed statistical reports for the Department of Health and Hospice
  • Compiled statistical and dimensional models for the analysis of data
  • Compiled statistical and analytical results for the purpose of evaluating and developing a new
  • Compiled statistics and data for the purpose of developing a statistical analysis tool for the use of statistical analysis
  • Compiled source code for the database and performed analysis of data to identify and report trends
  • Compiled technical reports and analyzed results to identify trends
  • Reviewed and implemented a new system for the data warehouse, which allowed us to streamline the process of data collection and reporting
  • Reviewed the design and development of a data warehouse for the purpose of collecting and processing data from the National Health and Nutrition Survey
  • Reviewed all incoming and outgoing documents for proper format
  • Reviewed all statistical reports for the Department of Defense (DOD) and other agencies
  • Reviewed statistical and analytical reports to determine the validity of proposed data
  • Reviewed papers and presented results to the National Academy of Science
  • Reviewed project plans and specifications to determine the feasibility of developing a new product
  • Reviewed maps and map data from various databases to determine the most efficient method of data collection
  • Reviewed design and code for the new data collection tool, which was developed to improve the accuracy of data collection
  • Reviewed new and revised models to ensure that the data is accurate and in compliance with the requirements of regulatory agencies
  • Reviewed reports and analyzed data to determine the most efficient and effective methods of data entry
  • Reviewed current and proposed data for the purpose of improving business intelligence
  • Reviewed & analyzed the data for a new project to be implemented in the lab
  • Reviewed statistical reports and analyzed the results to develop a new method for quantifying the effects of various chemical and organic contaminants on the quality of food products
  • Reviewed, edited & updated the statistical reports for all projects
  • Reviewed existing code and developed an application to track the status of a customer's product
  • Reviewed all the results of a simulation to identify the root cause of a problem and to determine the next best approach
  • Reviewed various datasets to create a new dataset for the data mining
  • Reviewed work of the staff and made suggestions for improving the quality of work
  • Reviewed new and current data from the various sensor platforms to determine if the data could be used for future development
  • Reviewed research data and developed a model to simulate the neural network of a robot
  • Reviewed Oracle databases for errors and reported to the appropriate personnel
  • Reviewed current and new datasets to identify potential issues and trends
  • Reviewed and analyzed the results of a new project to identify the most efficient method for processing and storing the raw materials
  • Reviewed, analyzed and evaluated the effectiveness of various data collection techniques and methods
  • Reviewed all financial and statistical information for the company to ensure that all financial and operational information is accurate
  • Reviewed, analyzed and interpreted the data from various datasets
  • Reviewed a variety of technical documents and created a detailed report for the project
  • Reviewed a variety of datasets to identify and quantify the impact of various environmental and land use factors on the production of oil and naturalgas wells
  • Reviewed research papers and data for the purpose of identifying and summarising data
  • Reviewed results and prepared for analysis
  • Reviewed current and proposed data for the purpose of identifying and improving data quality
  • Reviewed and verified all the data collected from various sources to support the analysis of data
  • Reviewed multiple papers and data from various studies to develop a new model for the prediction of future events
  • Answered questions from the public about data collection and reporting, including the purpose of data collection and report generation
  • Answered telephone inquiries from customers and provided accurate responses to questions
  • Answered calls from clients and vendors to provide technical assistance
  • Answered calls from patients and their family regarding the benefits of a new insurance plan
  • Answered telephoned and email requests for statistical analysis, data entry of patient information into the database and other administrative tasks
  • Implemented the new system to extract and store the raw material data from a variety of sources
  • Implemented SQL Server database to create and retrieve reports from the database
  • Implemented multiple projects to improve the efficiency of data entry and reporting
  • Implemented and managed the design, testing & development of a new analytical tool for the analysis of water and waste streams
  • Implemented new statistical techniques to better analyze the quality of data
  • Implemented an analytical methodology to identify and resolve noncompliance of the company
  • Implemented multiple regression and validation methods to validate the accuracy of data
  • Implemented database schema and created reports for the department using SSRS
  • Implemented Oracle database to support the data analysis and validation of a large data warehouse
  • Implemented multiple algorithms to analyze and improve the data collection
  • Implemented various database systems and databases to improve efficiency
  • Implemented in the lab to extract and interpret statistical results from data
  • Implemented a new method to create an array of stored procedures for the data model
  • Implemented new model to improve the prediction of future trends
  • Implemented an automated data analysis program to predict the probability of a particular event
  • Implemented several new methods to analyze the performance of a data warehouse and its associated databases
  • Implemented several new methods to analyze data and generate a report for the department
  • Implemented various programs to improve the quality of data collection
  • Implemented in-depth research into the development of a new data collection system
  • Implemented a new prediction algorithm for the model to predict future market conditions
  • Implemented SAS and Excel to create reports for the project
  • Completed project to develop a database for the purpose of analyzing and reporting on the performance of a new system
  • Completed and maintained a detailed analysis of the statistical and data quality
  • Completed several projects in the areas of data modeling
  • Completed several projects in the areas of statistical data, statistics analysis and trend modeling
  • Collect and interpret quantitative data from a wide range of statistical methods to develop and implement a statistical model to predict the future of a product
  • Collect, organize and analyze information from multiple databases to create reports and graphs
  • Collectes and reports on the status of data from multiple sources
  • Collect and interpret statistical information from the laboratory and analyze data to identify trends, problems and potential areas of concern
  • Collect statistical information from multiple databases to create and present statistical reports
  • Collect qualitative and statistical data from a wide range of datasets
  • Collect and organize all relevant metrics for the analysis of data
  • Collectes and reports on the data from various databases, such as the National Institute of Health (NOE).
  • Collected and verified all required data for the program
  • Collected and reported all relevant data to the senior management team and stakeholders
  • Collects and analyses statistical information from a wide array of data sets
  • Collect statistical information from a wide variety of data
  • Collect & analyze statistical and analytical data to develop reports, tables and graphs
  • Processed a large scale data analysis of the distribution and storage systems in a large data center
  • Processed daily reports for the project managers and provided feedback to the project manager
  • Processed multiple datasets to create a model of the neural networks
  • Processed test cases and trained users on the use of these tools
  • Processed large scale, multi dimensional datasets for the analysis of data
  • Processed a large scale project to develop an online data collection system for the Department of Defense
  • Processed the analysis of biological data for a large, complex and diverse client base
  • Processed queries and performed database analysis using SAS, Excel
  • Processed multiple datasets for the analysis of data and provided technical support to the team
  • Processed, tested & debugted the data collection and validation of a variety data collection systems
  • Processed and analyzed the performance of a variety statistical software programs to analyze the effectiveness of a given program
  • Processed a variety of complex, high complexity data mining algorithms using a variety of data sources
  • Processed all incoming and received data for the project;
  • Processed reports, performed statistical analyses and prepared data for presentation to the senior level executives
  • Processed a variety of analytical and statistical analyses to determine the impact of various factors on production
  • Processed various data analysis and modeling techniques to analyze the data and develop a new process for the data collection
  • Processed complex, high volume datasets using statistical analysis techniques
  • Processed complex, high speed data analysis and modeling of the human genome using a computational approach
  • Developed and maintained a comprehensive data collection program for the purpose of analyzing and summarizing data from the various databases
  • Develop and implement a new data management program for the company
  • Develop a database to track the data collected from various research projects
  • Develop new methods to improve the efficiency of data entry and reporting
  • Develop and maintain a variety of statistical methods to analyze the data
  • Develop a framework for the application of data analysis and reporting
  • Develop reports and graphs for analysis, review of results
  • Develop algorithms for data mining and analysis of statistical results, including data extraction and modeling
  • Develop and maintain a comprehensive, accurate database of data for the entire organization
  • Develop a new process for the development of a high-speed data collection instrument
  • Develops and maintains data for the analysis of statistical trends and data collection
  • Develop automated statistical software to predict the distribution of product
  • Processed and reported monthly financial data for the Department of Energy
  • Processed and stored information in Oracle databases for the purpose of data analysis
  • Process analysis, statistical programming and data mining for the development of a new data collection system
  • Prepare, review and analyze data for the development of a statistical analysis
  • Prepare detailed statistical reports for the purpose of evaluating and developing new products for the company
  • Prepare experiments for the development of new algorithms and for the analysis of existing datasets
  • Wrote, designed and implemented a statistical model to analyze the data of a large scale project
  • Wrote detailed technical specifications for the development of a data warehouse
  • Wrote SQL scripts to analyze and predict the results of statistical analysis
  • Wrote reports and analyses for the department's annual reports
  • Wrote technical reports and performed statistical analysis of the research
  • Wrote an algorithm to calculate the number of different variables in a data warehouse
  • Wrote queries to retrieve, store and manipulate information from data
  • Wrote research papers and performed data analysis for the study of human cell biology
  • Wrote detailed reports for the development of a statistical software package for the analysis of data
  • Wrote C++ programs to generate and analyze statistical information
  • Wrote complex queries to analyze and report on the status of data in a variety databases
  • Create custom algorithms for the analysis of a large data collection
  • Create, edit & implement reports for the statistical modeling of data
  • Create graphs and plots to analyze the results of data
  • Create databases and spread sheet for the data collection process and analysis
  • Create models and data sets for the purpose of developing and evaluating data collection methods
  • Create and maintain a web-based database for the purpose of analyzing and documenting data
  • Create datasets for the analysis of data from various datasets
  • Lead in the design and testing of a data management dashboards for the company to use in their daily reports
  • Lead on the design and analysis of a large data warehouse for the Department of Homeland Security
  • Lead a team of engineers and analysts to design a new data collection system for the National Institutes of Mental Hygienists
  • Lead weekly meetings with the Director of Research to gather data and present findings
  • Lead multiple projects to analyze and improve the quality of data
  • Led team of 10-12 students in the design and implementation of a new data collection system
  • Led development of a new model for the prediction of future growth
  • Led multiple research teams in the analysis of financial and business data
  • Led multiple research teams in the design and analysis of a new data management system for the Department of Energy's National Renewables Data System
  • Led teams of analysts and developers to design complex, highly-complex data sets
  • Led effort to create a new tool for the data collection process
  • Led all phases of the Map Reduce process from design to implementation
  • Led a research study to develop an automated data management program for the National Science Center
  • Led design and implementation of a statistical software program for the analysis of data
  • Led design and analysis of a large data set for the National Cancer Registry
  • Led several research teams in the design and analysis of a new
  • Led statistical analyses of a wide range data collection and statistical analysis of the data
  • Led several projects to analyze the performance of a data processing system
  • Led efforts to identify and resolve complex problems in the data warehouse
  • Led all statistical research and development efforts for the Department of Energy's National Grid
  • Led design, analysis & validation of a data collection system for the National Institute of Health
  • Led an effort to migrate the HBase database from Oracle to SQL Server 2005
  • Led implementation of a data mining tool for the company's financials
  • Led efforts to design and develop a new software for the data warehouse
  • Led efforts to improve the data collection and reporting of a major study on the impact of a new drug on the human brain
  • Handled all aspects of the project from design to production, including data mining and statistical analysis
  • Handled a large volume of customer inquiries and requests, while maintaining a positive customer service attitude
  • Handled multiple tasks and projects in a timely fashion, while maintaining the integrity of data
  • Handled in-house and offsite research, including statistical analysis of the data
  • Handled daily production of data and analysis
  • Handled analysis of the data and statistical modeling
  • Handled research and development of new data sources for the department
  • Handled queries and performed database analysis for the company, which included data collection and manipulation
  • Handled large volumes of in house and out-source statistical data
  • Handled all aspects of the research, data analysis & reporting for the project
  • Handled a variety of technical tasks including data collection, statistical modeling and design
  • Handled various tasks such data analysis, statistical modeling
  • Coordinated with the team to create a new Dashboards for the project to track progress
  • Coordinated a project to develop an automated prediction system for the detection of a novel protein in the blood of mice
  • Coordinated multiple research studies, analyzed and interpreted results
  • Coordinated experiments with the laboratory and performed data collection
  • Coordinated multiple research studies, data analysis and reporting for the National Cancer Information System
  • Coordinated all research and data entry for the company, as well
  • Coordinated research and data gathering efforts with the Department of Education, National Institute on Standards and Technology (NTIT).
  • Coordinated a project to improve the efficiency of a large scale data collection and analysis program
  • Coordinated multiple research teams to analyze and interpret
  • Coordinated project with team of researchers to design and build a new machine
  • Coordinated multiple research teams to complete projects in a time sensitive manner
  • Coordinated development of new model for the data management and reporting system
  • Coordinated and managed the data entry of new and updated patient demographics
  • Coordinated the development of a project to improve the accuracy of data from a legacy database
  • Coordinated multiple projects with the team to improve quality and efficiency of the data processing
  • Coordinated a team of developers and analysts to create a database for the company
  • Coordinated statistical analysis of a variety data sources to produce reports and tables
  • Gathered requirements and developed a new system for the GSM network
  • Gathered business requirement and created a functional specification for the system
  • Gathered, organized and analyzed information from multiple databases to develop a comprehensive report for the department
  • Gathered, organized and analyzed information from multiple databases to create a comprehensive analysis of the financial status and performance
  • Gathered business needs and developed a model to analyze the business needs of a new company
  • Gathered and verified data from various databases
  • Gathered and Analyzed information from various databases to develop reports and tables
  • Gathered project status and created a report to be presented at the annual conference
  • Gathered reports from the field and created a spreadsheet to show the data collected
  • Gathered necessary information to develop a new method for the calculation of a novel protein
  • Gathered required information from the client and created a project to implement the data collection
  • Gathered qualitative and data analysis of the results, developed and implemented statistical models to evaluate the results
  • Gathered and verified the source of data for a variety projects
  • Gathered statistical information from the field and presented results to senior management
  • Gathered information from the general contractor and provided technical advice to the project managers
  • Gathered, organized & interpreted statistical information from various data source systems
  • Gathered all pertinent and current research information for the purpose of developing a research protocol
  • Gathered analyzed, interpreted & reported on the results of data collection
  • Gathered and verified all data for the SPC project
  • Gathered a comprehensive analysis of the statistical process and its implications for the organization's financial and operational processes
  • Gathered materials and analyzed results to develop a method for the analysis of data
  • Gathered and analyzed statistical, economic data for the Department of Defense (DoDE).
  • Gathered information from the field and analyzed it to create a new product
  • Gathered information from the general population, and conducted statistical analysis of the data
  • Gathered all relevant information from the field and provided recommendations to senior leadership
  • Gathered results from the research and analysis of data to determine the most effective and efficient method of data entry
  • Gathered and verified all required customer data for reports
  • Gathered detailed information from various data sources to create a predictive modeling tool for the future of a large scale data warehouse
  • Gathered statistical information from the database to develop a comprehensive report for the department
  • Researching and developing new methods for the development of a new data warehouse
  • Research the use of data from various databases to develop a database for the purpose of analyzing and evaluating data
  • Research in the areas of statistical analysis and data collection
  • Research for the development of a new method for the analysis of data
  • Involved the design and development of a new data collection tool for the US Army
  • Involved directly in the development of a novel, highly-efficient and scalable method for the analysis of a novel protein
  • Involved and supervised the development of a data collection tool for the purpose of analyzing and reporting on the performance of a data mining program
  • Involved in the implementation of new data mining and analytics platform
  • Involved with the analysis of data from multiple systems, such as the Internet and other sources
  • Involved designing and maintaining a new data warehouse for the department
  • Involved with the design of a new system for the data collection and analysis of a large dataset
  • Involved on the design and implementation of a data management system for the company
  • Involved extensively in the research of novel molecular targets for the detection of cancer
  • Involved extensively in the analysis of data from multiple systems
  • Involved creating and editing statistical data for the purpose of analyzing and summarizing results
  • Organized and implemented a new data management program for the department
  • Organized, detail-oriented and results driven with a proven track record of success in data analysis and reporting
  • Organized the research and analysis of statistical results for the department
  • Organized workflows and created new workflow for the data analysis team
  • Organized project to create a database of the most important information in a large data base
  • Organized reports and tables to be entered into the system, and created spreadsheets to track the data
  • Organized workflows and databases to meet the requirements of business needs
  • Organized and managed the daily production of statistical and financial information for the Department of Health and Human Resources
  • Organized a variety of laboratory procedures and equipment to ensure that the laboratory met all requirements for quality and quantity
  • Organized & managed the research and analysis of data for the National Cancer Registry
  • Organized and managed a variety of research studies
  • Organized project to implement a web based system for the production of a large scale data warehouse
  • Organized weekly meetings with the department to review and update current research
  • Organized an online training class for the department to help new hires understand the basics of Natural Language processing
  • Organized and maintained the SAS data warehouse for all of the company
  • Organized the research and data analysis of a novel, high throughput method for the detection of a novel, highly reactive protein
  • Organized the research and analysis of data from the field
  • Organized research projects and performed data analysis for the development of a novel
  • Organized project to create a database for the use of data from a variety sources
  • Organized all statistical reports for the department and presented results to senior leadership
  • Organized projects and assisted in the development of a statistical model to analyze the impact of a proposed new construction on the quality of life for a large population
  • Supported the design and development of a Spark application to track the progress of a client's project
  • Supported development of a new data warehouse for the Department of Defense
  • Supported in the design and implementation of a new model for the prediction of future oil and gas demand
  • Supported and maintained the design, implementation of a Map Reduce tool for the data mart
  • Supported multiple research teams in the design and implementation of a new SAS package for the National Cancer Information Center (NIC) and the NIH
  • Supported project management and analysis of the development, testing & implementation phases of the new product
  • Supported project teams in the design and implementation of data analysis tools
  • Supported an application that allows the company to track and report on the performance of a given product
  • Supported production of the following data Data collection and analysis, statistical modeling of data collection and analyses, statistical modeling of the results
  • Supported engineering and manufacturing teams in the design of a novel, high speed sensor for the detection of a chemical reaction in the water
  • Supported C-Level executives in the design and implementation of new software applications
  • Supported SAS and Excel programs to produce data for the project
  • Supported students with computer and software related issues in a timely manner
  • Supported development of a web based database for the company to track and analyze data
  • Supported project teams in the creation of a project tracking and reporting system, which provided a more efficient and effective reporting process
  • Supported in the analysis of data from multiple studies and the development of data collection methods
  • Supported project teams in the analysis of complex and highly technical data sets for the Department of Defense
  • Supported team in the planning and implementation of a project to develop an integrated data warehouse for the National Cancer Registry
  • Supported multiple research studies in the field of environmental and health sciences
  • Supported senior scientists in developing and maintaining statistical data for the purpose of identifying and reporting on the effects of environmental changes in water, wastewater treatment and waste
  • Supported laboratory experiments and assisted in the design of experimental equipment
  • Supported an application that is designed to simulate the performance of a large scale, distributed data warehouse
  • Supported the development of a statistical model to analyze the impact of a new process on the quality of raw data
  • Supported a team of graduate student researchers in the research of a new method for the detection of a protein in human blood
  • Supported in the design of a new algorithm for the detection of a novel target
  • Supported senior research project on the effects of a global warming on the economy
  • Supported and assisted in the design of a data collection system for the purpose of collecting and reporting data on the health of a large group population
  • Supported in the development of a new Random forest model for the study of human brain injury
  • Supported undergraduate students in the development of a novel, high energy-efficient
  • Supported and maintained the Oracle Database, including database backups and maintenance of the data
  • Supported three graduate research students in the design and analysis of a novel
  • Supported team in the analysis of data for a major project to develop an integrated statistical model for the use of a new system
  • Ensured the accurate and timely processing of all financial transactions, including the processing of cash and credit cards
  • Ensured the integrity of all statistical and data collection activities, including the development of reports and statistical analysis
  • Ensured proper execution of the data analysis and validation process for the HANA project
  • Ensured optimal utilization of resources and minimized downtime during the production process
  • Ensured optimal utilization of resources and minimized costs by implementing a new process for the analysis of data
  • Ensured timely and efficient data entry of patient demographics and billing information
  • Ensured correct and accurate processing of all incoming data from the database
  • Ensured customer service and satisfaction by ensuring all customer requests are met
  • Ensured that the project team had all necessary information to perform the data extraction and reporting
  • Ensured accuracy of the information in database and provided technical guidance to the users
  • Ensured accurate and efficient use of laboratory data, performed analytical procedures and maintained laboratory inventory
  • Ensured accuracy of all test results and ensured proper testing
  • Ensured timely and efficient analysis of the raw material and data for a new product
  • Ensured a smooth flow of information between the team and other departments
  • Ensured timely and complete documentation of the data
  • Ensured successful completion of a large-volume project by analyzing and documenting the data
  • Ensured the accuracy of data collected by a variety and diverse group of researchers
  • Ensured accurate and efficient use of data in the prediction and modeling of future product performance
  • Ensured optimal performance of the lab by analyzing data and performing experiments to improve the performance of lab equipment
  • Ensured a high degree of quality control and reliability in the development of new machine
  • Ensured high quality of the lab's statistical reports and data
  • Ensured optimal performance of the database by performing data collection, analyzing and reporting
  • Ensured optimal performance of the data collection and reporting process
  • Record and report on the status of all data and statistical analysis
  • Recorded and maintained the status of incoming raw data for the project and maintained a database of the project status
  • Recorded and reported on the data mining process, including statistical and analytical techniques
  • Trained in the following areas of study, data collection and analysis
  • Trained and supervised a team of six analysts in the use and application of predictive models
  • Trained to perform analysis of statistical and analytical results in a laboratory setting, including the analysis of statistical and analytical results
  • Trained as a SQL Developer and was responsible for the creation of a database to track the data for a large-sized project
  • Trained students in the use of mathematics and statistics in the classroom
  • Trained students in the use of a variety statistical techniques to analyze data and develop a statistical model to evaluate the effects of a new drug on the human brain
  • Trained the team on how to properly perform the test and how to use it
  • Trained in the development of a new software for the data warehouse
  • Trained new hires on the basics of data mining and analysis
  • Trained new hires on the data analysis and reporting tools, including the Big Data Toolkit
  • Trained staff on proper protocol and protocols for the analysis of data
  • Trained with the use of a computer to perform various duties such as, data analysis and reporting
  • Trained with Microsoft Excel to analyze and interpret business intelligence reports
  • Trained new employees on the Hadoopy process and how to properly use HBase
  • Trained over 100 new students in the areas of financial analysis and business
  • Trained over 20 students in the use of SAS and Excel to analyze data
  • Trained all new hires on the database and SQL queries
  • Trained employees on the basics of Spark and how to use the data
  • Researched and developed a Python program to generate and manipulate a variety of statistical data
  • Researched new and emerging technologies for the purpose of developing and implementing new methods for the analysis of information
  • Researched a novel approach to the identification of a new type-2 diabetes drug
  • Researched statistical trends and data for the department's statistical reports
  • Researched various issues and developed a new method to improve the quality of data
  • Researched methods and procedures for the analysis of statistical and numerical data
  • Researched potential sources of data and developed a database to analyze data
  • Researched relevant information and presented results to the team for analysis
  • Researched relevant trends and data to identify areas of opportunity for improvement
  • Researched and analyzed a new process for the design of a new data mart
  • Researched various topics and analyzed the results to identify potential issues
  • Researched current state of the industry and developed a comprehensive report on the status of industry
  • Researched for and reported on the impact of new data sets on the current state of data collection
  • Researched potential sources of contamination and developed a database to analyze the data for future use
  • Researched potential sources of information and analyzed results for the use of statistical software
  • Researched how to improve the quality of data collection and reporting
  • Researched different methods of measuring the effect on a protein-protein interaction between the two proteins
  • Researched requirements and design of data warehouse for the purpose
  • Researched new technologies and techniques for the analysis of statistical data and presented results to the senior leadership
  • Researched trends in the market and developed a comprehensive research plan to improve the data analysis process
  • Researched current and emerging data for the development of a new statistical software
  • Researched market trends and competitive analysis
  • Researched issues and presented recommendations to senior leadership on future research
  • Supervised and performed statistical analysis of the results
  • Supervised over 100 undergraduate students in the design and implementation of a new statistical software
  • Supervised research and analysis of the data for a new study
  • Supervised laboratory operations and provided support to the Laboratory Director and staff
  • Supervised and managed the design of a data mining and visualization tool for the Department of Defense
  • Supervised the design and analysis of a data mining tool for the development of a large-scale, data mining system for the Department of Homeland Security
  • Supervised undergraduate and postdoctoral researchers in the analysis of statistical data
  • Supervised staff of four in the analysis and implementation of a new financial reporting system
  • Supervised all aspects of the research project including design, data collection and statistical analyses
  • Supervised all aspects of project development, data collection & analysis