Trained a Yolo model on college volleyball broadcast data to detect player positions, and now working on a tool to visualize trends in this data, seeking to provide value to Georgia Tech’s strategies for the Fall 2025 season

Generated at least $30,600 per year in savings by automating reports for Caterpillar’s enterprise data management controls. Leveraged Snowflake, SSRS, and Power BI to build and publish paginated reports that satisfy internal controls. Authored extensive documentation to enable future SSRS reporting within CAT Digital.

Built a college basketball ranking system that helps to identify potential opponents that are overrated by the NET rankings, optimizing NCAA tournament chances for GT's basketball team. Ranking metrics included offensive and defensive efficiency, margins of victory, and game location. Based rankings on my implementation of a Logistic Regression Markov Chain model in Python using game results data from sportsdataverse.