🔷 Customer Segmentation Using RFM Analysis 🔷 This project applies RFM (Recency, Frequency, Monetary) analysis to segment customers based on their purchasing behavior. Using Python (Pandas, Seaborn, Matplotlib), we calculated RFM scores and grouped customers into segments like Champions, Loyal, At Risk, and Hibernating.

Capstone project of Udacity Data Analyst Nanodegree. Focus on advanced visualizations to explore data and to communicate insights and patterns. Final slide deck is made with Jupyter notebook with interactive HTML slides (based on reveal.js).