Projects

Developed a novel pitch decay insight using Statcast data to inform pitcher management. Created heatmaps to visualize wOBA decay and spin rate impacts. Presented in the General Track at the SABR Analytics Conference, providing actionable insights for teams. [View on GitHub]

Built a reinforcement learning agent using Q-learning to optimize poker strategies against a range of opponent types (conservative, moderate, aggressive). Used Python and TensorFlow to model decision-making under uncertainty. [View on GitHub]

Designed an AI-driven model to detect lunar hazards for NASA’s RASC competition, and prospective astronauts in a lunar base. Predicted potential hazards such as moonquakes, lunar flares, and oxygen deficiencies using machine learning techniques, and created a dashboard using Flask and React to visualize it. [Contact for Details]

Developed predictive models for ticket sales at Harris Blitzer Sports & Entertainment. Used Python and SQL to analyze fan and ticket data for both the Philadelphia 76ers and New Jersey Devils. [Contact for Details]