Diego Isaac Osborn
Data Scientist

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 interested 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

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

Honors: Eleanor Roosevelt College Honors Program, Provost Honors (6x)
Organizations: Triton Ball Sports Analytics Club, Data Science Student Society
Graduate Coursework (cross enrollment): Bayesian Statistics
Relevant Coursework: Mathematical Statistics, Machine Learning + Deep Learning, Relational Databases, Cloud Computing

Experiences

UC San Diego Baseball - Lead Data Science Intern Feb 2023 – Jun 2026

Primarily worked with the pitching group, where I helped lead a five-person analytics sub-team focused on player evaluation and development. Most of that work centered on our internal pitching models - handling everything from pitch-type classification to evaluating overall pitch quality using gradient boosted trees and unsupervised learning. I also spent time on the data side, where I engineered an automated Python pipeline that ingested, cleaned, and loaded over three million TrackMan records into a centralized BigQuery database that the entire 10-person analytics team could build on. I also worked on turning the modeling and data work into scouting reports and presentations that the coaching staff could actually use. And I also helped keep the analytics group collaborative through regular peer code reviews and shared research.

Halıcıoğlu Data Science Institute - Senior Capstone Research Jan 2026 – Jun 2026

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.

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

Primarily worked on cleaning and standardizing over 13,000 LinkedIn profiles and 6,000 survey responses for the First Destination Survey, resolving inconsistencies across six different data-entry sources to build two master datasets. I also spent time on architecting a local PostgreSQL database containing more than 100,000 student Handshake profiles and writing SQL queries to classify and filter these profiles by degree type and activity status for account-archival reporting. I also wrote Git workflows and SOPs that kept version control and analytical reproducibility manageable for the four-person analytics team.

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

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

2026 NAFSI Student Data Challenge Track 1 Winner Apr 2026

Awarded 1st place and $2,000 prize in the inaugural nationwide CropSmart data competition for predictive crop yield modeling with Hilbert space Gaussian processes. Issued by The National Food Security & Innovation Hub.

2025 SMT Data Challenge Honorable Mention Aug 2025

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.

Yoseloff Foundation Scholarship Jan 2025

One of four nationwide recipients to attend the 2025 SABR Analytics Conference. Issued by the Society for American Baseball Research.

Provost Honors

Spring 2023. Winter 2025. Spring 2025. Fall 2025. Winter 2026. Spring 2026. Issued by University of California, San Diego.