Business Intelligence & Data Analyst · MS Business Analytics, UW Foster · Seattle, WA
Turning raw data into strategy. Experimentation, causal inference, and BI infrastructure for decisions that actually ship.
I build the analytics layer between messy data and business decisions — experimentation design, causal lift measurement, predictive modeling, and the BI infrastructure that makes those answers reproducible.
- 🏆 MIT Sloan Sports Analytics Competition — Top 3 Global Finalist, 2026
- 🎓 MS Business Analytics, University of Washington Foster (GPA 3.85)
- 💼 3+ years analyst experience across logistics, IT distribution, and renewable energy
- 📍 Seattle, WA — open to BIE, Data Analyst, and Product Analyst roles
Experimentation & Stats A/B Testing · Difference-in-Differences · Synthetic Control · IPW · Double ML · Power & MDE
ML & Time Series
XGBoost · Random Forest · ARIMA · Prophet
- Personal Analytics Projects
- Music Intelligence App Recommendation System: Spotify (8 years, 182k+ streams).
- Amazon e-commerce Pricing Analytics order history.
- WHOOP biometric data as first-party datasets for product-analytics case studies.
- Voir Dire: agentic job-application RAG pipeline (Claude API + MCP stack) with sponsorship triage, weighted job scoring, and ATS validation grounded on a scraped JD corpus
- Snowflake ecosystem fluency: Cortex, Snowpark, SnowPro Core
Open to BIE, Data Analyst, and Product Analyst roles.