Hey, I'm Diego Osborn

I am a fourth year undergraduate student studying Data Science at UC San Diego with minors in Economics and Mathematics. I am currently a Data Science Intern for UC San Diego's baseball team (Winter 2023 - Present). Previously, I have spent internships with UC San Diego's Career Center as a Data Engineering Intern (Data Analyst) (Fall 2024 - Spring 2025), and as a Summer Data Analytics Intern for Palm Springs Power Baseball (Summer 2023). My strengths lie in machine learning, statistical modeling, and probabilistic reasoning. I'm interested in any opportunities in data science/data analytics, so please feel free to reach out to me via my contact page!

Education

University of California, San Diego Sep 2022 – Jun 2026

B.S. Data Science; Minors in Economics and Mathematics

Organizations: Triton Ball Sports Analytics Club, Data Science Student Society

Honors: Eleanor Roosevelt College Honors Program, Provost Honors (4x)

Graduate Coursework (cross enrollment): Bayesian Inference, Hierarchical & Probabilistic Modeling

Relevant Coursework: Principles & Techniques of Data Science, Monte Carlo Methods, Relational Databases, Cloud Computing, Scalable ML

Experience

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

Automated the end-to-end generation of opponent scouting reports using Python, reducing weekly preparation time by 90% to streamline pre-game strategy.

Designed a semi-supervised pipeline using Expectation-Maximization and Gaussian Mixture models to resolve pitch label noise, training gradient-boosted trees for robust pitch classification..

Developed a Monte Carlo simulation running 10,000+ iterations on 3 years of historical data to forecast expected win ranges across varying schedule scenarios to support strategic planning.

Built a Python data ingestion pipeline to migrate 1.1M+ rows of raw Trackman CSVs into PostgreSQL, creating a centralized repository to eliminate manual file merging.

Designed automated post-game visualization reports to track velocity, movement profiles, and location heatmaps, streamlining post-game analysis for coaches and players.

Contributed to the 2023 Big West Conference Championship title through support for analytics operations and ad hoc scouting analysis.

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

Developed a reproducible Python ETL workflow integrating 2,000+ Qualtrics responses with LinkedIn data for 12,000+ graduates, establishing a single source of truth for outcome reporting.

Authored technical SOPs for version control and environment management, defining Git protocols to reduce code conflicts and standardize development for a 4-person analytics team.

Migrated 100,000+ student career Handshake profiles into a local PostgreSQL database, using SQL to ensure compliance with university data retention policies and to deliver actionable datasets.

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

Oversaw data integrity and validation across 100+ league games, maintaining the central repository to ensure accurate reporting for the official league website.

Deployed an interactive Looker Studio dashboard to visualize 10+ KPIs from 7,400+ tracked pitch events, transforming raw data into actionable insights for 11 coaches and 260+ players.

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, 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.

Download Resume Here