Data Scientist · Operations & Supply-Chain Analytics · U.S. Army Veteran
M.S. Data Science (Texas Tech, 2025 · GPA 3.83) — based in Owensboro, KY
I build forecasting tools, ML models, and operational dashboards that turn messy real-world data into decisions. I spent 10 years owning supplier quality, parts analytics, and KPI reporting at an automotive operation while completing a quantitative M.S. — so my code is built for people who have to use it, not just submit it.
- M.S. Data Science, Texas Tech University (Rawls College of Business) — May 2025, GPA 3.83
- B.S. Science & Technology, Multi-Disciplinary, PennWest California — May 2023, Cum Laude
- U.S. Army veteran — Infantryman (11B), Team Leader (USAR); Honorable Discharge, August 2022
| Project | What it does | Stack |
|---|---|---|
| sim2sim | Operations-research platform — 9 queuing models, 6 inventory models, LP, Monte Carlo, AI-explained results. Built to replace $5K/yr Arena licenses. | Python · SciPy · FastAPI · Claude API |
| quant-trading-engine | Autonomous trading system — stacked ML ensemble (LightGBM + XGBoost + LSTM), 90+ features, institutional risk management, Alpaca integration. | Python · LightGBM · XGBoost · TensorFlow · Alpaca |
| sentinel | Personal endpoint security monitor — behavioral detection of spyware, C2 beacons, persistence implants. Live web dashboard. | Python · psutil · FastAPI · WebSockets |
| Used-Cars- | Stacked-ensemble price-prediction pipeline (LightGBM + XGBoost + CatBoost meta-learner). R² ≈ 0.93. | Python · scikit-learn · LightGBM · XGBoost · CatBoost |
Languages Python · R · SQL · C/C++ · TypeScript Data / ML pandas · NumPy · scikit-learn · LightGBM · XGBoost · CatBoost · TensorFlow / Keras · OpenCV · statsmodels BI / Viz Power BI · Tableau · Plotly · Matplotlib · Streamlit Infra Git · Docker · FastAPI · Django · PostgreSQL · Supabase · Digital Ocean
- 10 years at Grillo's Automotive — Parts & Materials Manager, then Operations & Parts Analyst. Built KPI dashboards, supplier scorecards, and a defect-rate tracking system that contributed an estimated $200K+ in annual savings.
- Army (Nov 2013 – Aug 2022) — Infantryman; deployed to Jordan 2016-17 (KASOTC, JTC, Tower 22) in support of Operation Inherent Resolve; NTC rotation 2019 with a National Guard Stryker Brigade Combat Team; Team Leader (USAR).
- Quantitative coursework — Statistics, Simulation & Optimization, Time Series Analysis, Big Data Strategy, Business Intelligence.
Analytics · Data Science · Operations · Manufacturing · Supply Chain · ML Engineering roles — Owensboro KY, remote-US, or DC area.