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Open to BIE & Data Analyst roles
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Hi, I'm Daniel 👋

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.

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🎯 What I do

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

🛠️ Stack

Languages & Querying Python SQL R

Data & Warehousing DuckDB Snowflake PostgreSQL Databricks

BI & Viz Tableau Power BI Plotly

Experimentation & Stats A/B Testing · Difference-in-Differences · Synthetic Control · IPW · Double ML · Power & MDE

ML & Time Series scikit-learn XGBoost · Random Forest · ARIMA · Prophet

Cloud & Infra AWS Git


🚧 Currently building

  • 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

📊 GitHub

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Open to BIE, Data Analyst, and Product Analyst roles.

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  1. airport-baggage-analysis airport-baggage-analysis Public

    EDA & probability analysis of airline baggage delivery times across ~99K real flights. Python · pandas · SciPy · Matplotlib.

    Jupyter Notebook 1

  2. direct-mail-response-analysis direct-mail-response-analysis Public

    Response rate modeling for a 100K-record direct mail marketing campaign. Python · pandas · scikit-learn · Matplotlib.

    Jupyter Notebook

  3. rocketfuel-ad-effectiveness-analysis rocketfuel-ad-effectiveness-analysis Public

    Causal inference & ROI analysis of a 588K-user randomized digital ad campaign for a luxury retailer. Python · pandas · SciPy · statsmodels · Matplotlib.

    Jupyter Notebook

  4. zillow-housing-analysis zillow-housing-analysis Public

    EDA, feature engineering & ZHVI price prediction across 1,406 West Coast cities over 10 years. Python · pandas · Scikit-learn · Matplotlib · Seaborn · Parquet

    Jupyter Notebook 1

  5. uber-lyft-boston-analysis uber-lyft-boston-analysis Public

    Jupyter Notebook