Customer Segmentation Using Machine Learning

Developed a customer segmentation model using K-means clustering and RFM analysis for an e-commerce platform. The solution analyzes purchase history, browsing behavior, and demographic data to identify 7 distinct customer segments. Enabled personalized marketing campaigns that increased conversion rates by 34% and customer lifetime value by 28%.