Machine Learning & Modeling
Customer Segmentation for ShopNow (K-Means Clustering)
Segmented e-commerce customers using RFM and category behaviour to identify VIPs, loyal shoppers, at-risk customers, and category specialists for targeted campaigns.
Daily Demand Forecasting for a Logistics Firm (Linear Regression vs Random Forest)
Built a demand forecasting model using order volume data from a Brazilian logistics company, comparing linear regression and random forest across 1,000 repeated train-test splits.
