Data Scientist I
GoFi / DriveTime
Building production vehicle recovery models and a VIN-based API for real-time recovery estimation.
Data Scientist focused on production machine learning, credit risk modeling, experimentation, and business-facing analytics. Graduated from The University of Texas at Dallas with a B.S. in Data Science in May 2026, with experience spanning production ML, dealer analytics, statistical modeling, automation, and full-stack AI products.
GoFi / DriveTime
Building production vehicle recovery models and a VIN-based API for real-time recovery estimation.
GoFi / DriveTime
Built credit-risk models, scoring workflows, dashboards, and dealer analytics, including a production XGBoost model across 1.2M applications.
Verizon
Automated capital budget reporting and supported server-side reporting handoff.
UT Dallas, VIEWS Project Lab
Developed statistical models for political violence fatality forecasting.
Real-time multiplayer chess auto-battler with server-authoritative matches and Stockfish simulation.
Physics-based growroom simulator for estimating energy demand from sensor and weather data.
Agentic AI product-planning tool that transforms sketches and text ideas into structured technical plans through multi-step LLM workflows.
NumPy-only LSTM from scratch for next-day Bitcoin prediction with chronological validation and a trading simulation.
Outside of work, you’ll usually find me optimizing a gaming strategy, chasing a cleaner lap at autocross or the track, hiking or camping when I can, and window-shopping watches I can’t justify buying (yet).