About

Kenneth Martin is a highly skilled and motivated Data Scientist, Data Analyst, Data Engineer, and Research Analyst with a passion for data. He is a recent graduate with a Bachelor of Science in Mathematics and a Hispanic Studies minor from Davidson College. With 4.19 years of relevant experience, Kenneth has had the opportunity to work with data both as an engineer and as an analyst. Currently, Kenneth is working as a Research Analyst on the R&D team at Data Resources Ltd., where he helps to create and implement projects that add value to the operations of two Major League Baseball teams. He is a founding member of the R&D team for MLB 3rd party data vendor, establishing research methods, applied statistical methods unique to each project, and visualizing research findings in Tableau. Kenneth is analyzing proprietary historical data sets resulting in Minor League Baseball prospect projection model. He is also designing UI for client-facing, interactive pitch data application enabling real-time decision-making. Kenneth is in the process of finishing Springboard's Data Science Career Track, a 550+ hour online boot camp that teaches the data science process, machine learning, and various technical skills that are used in the data science field. He is competent in Data Science, Data Analysis, Data Visualization, Machine Learning, Python, and SQL. Kenneth has previously worked as a Data Scientist at Supercharger, where he worked on developing machine learning models for customer behavior prediction. He has also worked as a Data Engineer at Tresata, where he completed self-paced training on technical skills such as Linux, Bash, Scala, Spark, and distributed file systems as well as proprietary Tresata software (ETL, Data Visualization, Record Linkage Tools). He worked with one of the world’s largest medical devices and healthcare companies on a project to automate ingestion, transformation, and output of medical device data at a rate of 1.5 TB of data/day to replace the legacy database system. He also worked in a fast-paced start-up environment, assisting in developing changes and updates for tresataACADEMY (internal company learning platform). Kenneth's tech stack includes Research Scientist, Data Scientist, Data Engineering, ML, SQL, Python, Spark, ETL, Scala, and UI. With his strong technical skills, analytical abilities, and passion for data, Kenneth is an excellent addition to any data-driven team.