Dillard’s Black Friday Sales
Applied ML techniques to maximize Black Friday sales revenue
Quick Summary
- Applied ML techniques to maximize Black Friday sales revenue
- Engineered 160M point-of-sale records through EDA and ETL processes using PostgreSQL and Python
- Applied Random Forest and K-Means Clustering for forecasting high-profit and low-return items using scikit-learn
- Optimized model performance through hyperparameter tuning, achieving an estimated 230% increase in ROI
Project Report
For more detailed project information, please visit the GitHub repo: https://github.com/nu-mlds-group/dillards-sales