Customer segmentation project using the RFM (Recency, Frequency, Monetary) model to categorize customers based on purchasing behavior. Includes automated data cleaning, RFM scoring, business segment labeling, visualization, and K-Means clustering for unsupervised segmentation.

Power BI dashboard analyzing customer drop-off, conversion behavior, revenue leakage, and high-risk segments in an e-commerce environment using 3,500+ simulated customer journey records.

Power BI dashboard analyzing WaveCon’s post-5G performance—revenue impact, churn signals, city trends, plan-wise performance, and strategic recommendations.