Data Scientist focused on applying machine learning, statistical modeling, and modern BI architecture to drive business value and optimize operations.
- 📊 Analytics & BI: Power BI (PBIP / TMDL / DAX), Tableau, Shiny, Flexdashboard
- 🤖 Data Science & ML: R (tidymodels), Python (Scikit-Learn, Pandas), Time Series & Regression
- ⚙️ Engineering & Automation: SQL, Git, Azure, n8n, Streamlit, VBA
| Project | Description | Stack |
|---|---|---|
| Demand Planning ML | Demand forecasting on Walmart M5 data: baseline vs ML, WMAPE/Bias/FVA, rolling backtests & Streamlit app. | Python Streamlit ML |
| Komatsu Commercial BI | Enterprise Power BI PBIP model: sales forecasting, margin analytics, backlog & OTIF logistics tracking. | Power BI DAX PBIP |
| Dashboards & Flows | Full-stack analytics & automation framework with multi-theme Streamlit engine and n8n orchestration. | TypeScript Python |
| 8n | ||
| Housing Regression | End-to-end regression modeling pipeline with feature engineering, model tuning, and evaluation. | Python Scikit-Learn |


