Himiway Demand Forecasting
End-to-end ETL and forecasting for intelligent site selection.
| Role: Data Science Intern | Stack: PostgreSQL, XGBoost, Tableau |
[cite_start]At Himiway Intelligent Technology, I work on data systems that support site selection and marketing logistics[cite: 17, 20].
Key Achievements:
- [cite_start]ETL Architecture: Designed a layered PostgreSQL ETL pipeline (Landing $\rightarrow$ Staging $\rightarrow$ Conform $\rightarrow$ Enrich $\rightarrow$ Export) featuring automated data-quality checks[cite: 19].
- Modeling: Trained XGBoost and regularized linear models. [cite_start]I implemented time-series cross-validation to accurately forecast next-quarter demand by city and ZIP code[cite: 20].
- [cite_start]Business Intelligence: Created interactive Tableau heatmaps to visualize city-level demand, presenting findings weekly to non-technical stakeholders[cite: 21].