I'm a Data Analyst based in San Francisco, focused on turning raw data into clear, decision-ready insights. I work across the full analytics stack, cleaning and querying in SQL, building pipelines and visualizations in Python, and delivering interactive dashboards in Tableau.
| Category | Stack |
|---|---|
| Languages | Python · SQL (MySQL, PostgreSQL, BigQuery) |
| Libraries | pandas · NumPy · Matplotlib · SciPy · FastF1 |
| Visualization | Tableau · Matplotlib |
| Workflow | VS Code · Git · Jupyter |
Tools: Python · BigQuery SQL · Tableau Google Data Analytics Capstone. Analyzed 791K+ rides to identify behavioral differences between annual members and casual riders, and built three data-backed marketing recommendations to convert casual riders into members.
Tools: Python · FastF1 API · Tableau Multi-season (2022–2025) Formula 1 analysis examining how podium finishers differ from midfield in tire strategy, pit timing, and pace management benchmarked from Ferrari's perspective.
Tools: Python · Tableau Econometric analysis of price and income elasticity across Toyota, Honda, Mazda, Nissan, and Subaru in the U.S. market (2008–2025), using CPI, finance rates, GDP growth, and loan data as demand drivers.
Tools: Python · MySQL · Tableau Five-year (2021–2025) PPR scoring analysis across QB, RB, WR, and TE positions: identifying elite draft steals, consistent performers, and positional predictability patterns to optimize draft strategy.
- SF Giants Player Analytics — PostgreSQL schema + pybaseball data pipeline
- Continuously improving SQL query efficiency and Python code structure
I'm always open to connecting, feel free to reach out!