This project focused on predictive analytics to enhance customer retention strategies for an e-commerce platform. Leveraging data modeling techniques, it identified churn patterns and provided actionable insights to minimize customer loss. Its effectiveness led to the professor adopting it for a research project, underscoring its real-world applicability and strong analytical foundation.