Diego Osborn

I am currently a fourth-year Data Science student at UC San Diego. I currently work as a data science intern for UC San Diego's baseball team. I previously worked as a data analytics intern for the UC San Diego Career Center and the Palm Springs Power.

I'm interested in data science, probabilistic modeling, and baseball. Feel free to reach out to me via my contact page!

Education

University of California, San Diego B.S. Data Science Sep 2022 - Jun 2026

Organizations: Triton Ball Sports Analytics Club, Data Science Student Society
Graduate Coursework (cross enrollment): Bayesian Inference, Hierarchical & Probabilistic Modeling
Relevant Coursework: Principles & Techniques of Data Science, Deep Learning, Relational Databases, Cloud Computing, Scalable ML
Honors: Eleanor Roosevelt College Honors Program, Provost Honors (5x)

Experience

UC San Diego Baseball - Data Science Intern Feb 2023 - Present

Responsible for designing, planning, and executing a combination of machine learning methods and automated workflows to support the evaluation and development of baseball players. Apply techniques such as gradient boosting, and generalized additive models. Work with coaching staff to communicate results through presentations and written reports that translate analytical findings into practical applications. Led the engineering of a centralized BigQuery database, and develop technical SOPs that standardize data access for a 10-person analytics group. Work closely with the broader analytics group to share research, code, and ideas that strengthen overall analytical workflows.

UC San Diego Career Center - Data Analytics Intern Sep 2024 - Jun 2025

Designed and implemented a reproducible Python ETL pipeline integrating survey and LinkedIn data for more than 12,000 graduates into a centralized dataset, while developing Git SOPs to standardize version control practices for a four-person analytics team. Managed the migration of over 100,000 student career profiles from Handshake into a local PostgreSQL database, using SQL to support university data retention compliance and produce analysis-ready datasets.

Palm Springs Power Baseball - Data Analytics Intern Jun 2023 - Jul 2023

Oversaw data validation for more than 100 league games supporting the official website and developed an interactive Looker Studio dashboard to visualize pitch-event KPIs used by 11 coaches and over 260 players.

Selected Projects

Awards

2025 SMT Data Challenge Honorable Mention Aug 2025

Issued by SportsMEDIA Technology (SMT)

Recognized among top participants (out of 50 teams and 114 students) for my innovative, baseball, player-tracking, quantitative analysis project, Bayesball in the Outfield: Quantifying Defensive Aggression With a Bayesian Hierarchical Model, in an international sports analytics competition.

Nanar and Anthony Yoseloff Foundation Scholarship Jan 2025

Issued by Society for American Baseball Research (SABR)

I am grateful to say that I was selected to receive one of four nationwide Nanar and Anthony Yoseloff Foundation Scholarships to attend the 2025 SABR Analytics Conference.