Business analytics senior at USF, graduating December 2026, looking for my first data engineering/analytics role (resume). By day I build the Python pipelines behind Giraux Fine Jewelry's online store, including a NetSuite-to-Shopify catalog sync for 849 products. The projects below are mine start to finish.
What I work with: SQL, Python, dbt, DuckDB, PostgreSQL, pandas, scikit-learn, XGBoost, R, Tableau, Shopify, Vercel
Outside of work: lifting, and keeping tabs on San Francisco, which is where two of the projects below came from.
- SF Muni Equity Tracker: 28.7 million Muni arrivals joined to census tract income. Routes through the poorest tracts average 2.6 times the delay of the richest. Most of that gap is 3 cable cars, though. Live map.
- SF Accountability Ledger: 12 reporting deadlines San Francisco wrote into its own laws, checked against primary sources every 2 weeks. It scores filed and findable separately. Live site.
- gtm-warehouse: a dbt warehouse on DuckDB over my own cold outreach data. SCD type 2 lead history, a late-arriving reply fact, 76 data tests, and a synthetic dataset so anyone can run it.
- aidep: Dependabot for AI APIs. Finds deprecated model and API usage in a repo and opens the migration PR.


