End-to-end customer segmentation using RFM analysis and K-Means clustering on real-world retail data. The project includes preprocessing, outlier handling, cluster validation, and visualization to generate actionable business insights. Completed as part of an AI & ML internship with Edunet Foundation under the AICTE–IBM SkillsBuild program.

Rchemist Framework :: for developing high-performance web services quickly and easily.