My Credit Card Churn Analysis and Retention Strategy project used Power BI, SQL, and Excel to examine churn across customer demographics, spending behavior, card usage, and engagement.
I designed interactive dashboards and identified high-risk customer segments responsible for nearly 65% of total churn. RFM and Customer Lifetime Value analysis informed retention targeting and insights supporting a projected improvement in customer retention.
For Project ChronoGuard, I built an anomaly detection system using AWS Server CPU Utilization data from the Numenta Anomaly Benchmark. I developed a Linear Regression model to forecast CPU spikes one hour ahead with less than 2% prediction error, and created dashboards highlighting anomalies and server health.
In my retail demand forecasting project, I developed a model to predict weekly product demand and built Power BI dashboards for inventory and sales monitoring. I also generated recommendations to reduce excess stock while minimizing stock-out risk.
