CV
Education
University of Virginia
Work Experience
Philadelphia Phillies, Lead Quantitative Analyst
- June 2024 - Present
- Developed and maintained pitching projections model.
- Produced model for fielder positioning recommendations.
- Iterated on & maintained batter-pitcher matchup models & pitch calling recommendation engine.
- Built evaluation and forecasting framework for catcher targeting skill.
Atlanta Braves, Research & Development Trainee
- May 2023 - August 2023
- Analyzed seam orientation data & developed physics-based model to decompose pitch movement into Magnus and non-Magnus components.
- Constructed predictive model for salary arbitration contracts.
University of Virginia, Research Assistant & Teaching Assistant
- January 2023 - May 2024
- Systemically scraped Library of Congress records of federal Native American land allocations.
- Hosted office hours, graded assignments, and offered one-on-one tutoring for Intro to Regression Analysis.
Skills
Methods
- Expert: Bayesian statistics, state-space modeling (continuous Kalman filters and linear dynamic systems, as well as discrete hidden Markov models), variational inference, mixed-effects modeling, Bayesian workflow.
- Proficient: Traditional frequentist analysis (A/B testing, hypothesis tests), causal inference, traditional machine learning methods (decision trees & extensions such as random forests and gradient boosting), neural networks, transformer-based models (LLMs).
Programming Languages
- Expert: PyMC, Stan, Python, R.
- Proficient: Git and GitHub, dbt, Airflow, Docker, SQL.
