- Developed models to determine optimal pitch sequences for pitchers in the MLB by leveraging clustering techniques, Recurrent Neural Networks (RNNs), and game theory principles.- Designed and implemented a web-scraping tool using Selenium to extract player salary and contract data across multiple soccer leagues and seasons, automating data collection for analysis and ensuring scalability for future updates.- Performed data analysis to ensure completeness and accuracy of data across different soccer matches and leagues, identifying gaps and inconsistencies to improve model reliability. - Processed game event data into actionable statistics used for modeling, including aggregating player performance metrics and calculating advanced statistics

- Conducting mathematical research on fine-scale statistics of straight lines on flat surfaces, focusing on properties of square-tiled surfaces and hidden geometrical relationships between them.- Leading a team of undergraduate peers, facilitating meetings to guide members in mastering the code base and core mathematical concepts, and delegating coding tasks to ensure efficient project progress.- Reviewed and synthesized advanced mathematical literature on topics including Tori, Poincaré sections, Translation surfaces, Hall’s Distribution, and Horocycle Flow.- Designing and developing a comprehensive, highly efficient code base for analyzing gap distributions of square-tiled surfaces, uncovering new patterns and potential gap distributions through rigorous testing and refinement.- Collaborating with graduate-level researchers to optimize code for numerical simulations and explore theoretical properties of geometric structures.

- Contributed to the development of research packets for network talent, focusing on the All-Star Game, Future Stars Game, and Trade Deadline.- Utilized BaseballReference, Radar360, and the Elias Database to compile and verify player statistics and records.- Played a key role in gathering and curating player data, directly supporting broadcasts and talent presentations.