• Decided to pursue independent baseball research full-time beginning in 2018
• Developing proprietary baseball simulation engine and player forecasting system, CASSIE
• Researched independent projects using tools including Statcast, Retrosheet, and baseballr
• Studied under Tom Tango: Data 201 – Enhanced Skills of Quantitative Analysis
• Attended SABR Analytics Conferences in Arizona, 2012-2019 (and 2020-2021 virtually)
• Attended the 2011 “Sabermetrics, Scouting, and the Science of Baseball” conference at Harvard

•  Improved scalability and maintainability of financial derivatives valuation software with particular focus on foreign exchange options and commodity swaps
•  Consulted with client to develop backend for custom commodity risk management system
•  Researched and prototyped various new models such as multi-asset class pricing and data anomaly detection
•  Led formal and informal internal training sessions regarding existing models and possible extensions

•  Modeled/simulated the spread of infectious disease for advising the US government during the 2009 H1N1 flu pandemic and during the aftermath of the 2008 Cyclone Nargis in Myanmar
•  Designed, stress tested, and implemented proprietary data analytics software that automatically builds predictive models from data and discovers patterns within data
•  Analyzed and processed a variety of data sets to prepare for further analysis
•  Led data services and integration projects
•  Implemented standard statistical techniques while also developing new pre-processing algorithms
•  Consulted with potential customers, including Fortune 500 companies, resulting in partnerships
•  Prepared and presented demonstrations and presentations for potential and current clients