Hi there! I am a recent Data Science graduate from UC San Diego. I previously worked as a data science intern for UC San Diego's baseball team, and as a data analytics intern for the UC San Diego Career Center and the Palm Springs Power baseball team.
I'm very interested in data science, probabilistic modeling, and sports analytics. If you're interesting in reaching out please feel free to shoot an email or check out my socials!
Also feel free to check out my blog posts if you're interested in what I'm currently working on or just want to know a little more about me!
Education
Honors: Eleanor Roosevelt College Honors Program, Provost Honors (6x)
Organizations: Triton Ball Sports Analytics Club, Data Science Student Society
Graduate Coursework (cross enrollment): Bayesian Inference, MCMC, Hierarchical Modeling
Relevant Coursework: Machine Learning, Mathematical Statistics, Deep Learning, Relational Databases, Cloud Computing
Experiences
Led the design and development of internal pitching models--from pitch evaluation to pitch classification--using gradient boosted trees and unsupervised learning methods for player evaluation and development purposes. Led the engineering of a centralized BigQuery database that integrated automated processes for over 3 million Trackman records. Routinely translated these complex analytical findings to coaching staff with written reports and presentations, and promoted a collaborative R&D environment within a 10-person analytics team through peer code reviews and shared research.
Authored a formal research paper under Professor Yoav Freund on identifying and understanding the spatial concentration of urban violence and crime in Chicago: An Analysis of Spatial Homicide Patterns in Chicago.
Architected a local PostgreSQL relational database for 100,000+ student career Handshake profile records, executing complex SQL queries to extract, clean, and structure large-scale datasets for downstream statistical reporting. Authored Git SOPs to standardize version control and ensure analytical reproducibility for a 4-person analytics team.
Operated the FlightScope radar system, tracked statistics for the league website, and built an interactive Looker Studio dashboard visualizing pitch metrics and outcomes for coaches and players.
Awards & Honors
Top 10 finalist out of 50 teams (114 students) for my project: Bayesball in the Outfield: Quantifying Defensive Aggression With a Bayesian Hierarchical Model. Issued by SportsMEDIA Technology.
One of four nationwide recipients to attend the 2025 SABR Analytics Conference. Issued by the Society for American Baseball Research.
Spring 2023. Winter 2025. Spring 2025. Fall 2025. Winter 2026. Spring 2026. Issued by University of California, San Diego.