Experience

ZeniMax Media
• United States
• Computer Games
• 200 - 300 Employee
• Senior Data Scientist

  • Aug 2022 - Present


Vision Point Systems

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Senior Data Scientist

  • Aug 2020 - Jul 2022

  Clients Supported• U.S. Navy, U.S. Naval Research Laboratory, U.S. Marine Corps, U.S. Coast Guard, Department of Defense, Environmental Protection AgencyTechnical Achievements• Designed, coded, and deployed embedded IoT data logging devices using AWS IoT Core, DynamoDB, and Lambda services• Performed deep learning modeling on material microstructure data to predict performance characteristics• Built a dashboard enabling client/end-user meta-analysis of man hour performance data, and built out trend analyses to visualize how separate teams performed on similar metrics, impacting future distribution of maintenance budgets and man hours for specific teams• Trained and supervised a junior data scientist who worked independently on data analysis tasking to fulfill client expectations

• Data Scientist

  • Aug 2010 - Aug 2020

  Technical Achievements• Performed data validation and time series analysis on USMC financial data using Python and R, examining data trends for anomalies and irregular behavior; utilized findings to identify $12 million in irregular cost trends for further scrutiny• Utilized statistical model building techniques (machine learning and regression) to create and implement probabilistic models to predict at-risk high cost vehicle components approaching a catastrophic fail state• Designed and implemented a computational bootstrap resampling algorithm to assess the margin of error for performance of new product technologies compared to an established in-use specification standard• Coded and validated Monte Carlo simulations to assess the validity of statistical distribution assumptions regarding organism densities in ballast water discharge; performed uncertainty and sensitivity analysis of test process for statistical sampling and evaluation of microorganisms• Analyzed cost of corrosion data on U.S. Navy ships; aggregated cost database in SQL utilizing feature engineering and normalizing data for transformation to data mine where and when costs were incurred relative to other ships in the fleet