Predictive Analytics for Customer Retention

Implemented models to predict customer churn by analyzing purchase history, engagement metrics, and support interactions. Designed user-friendly dashboards to provide actionable insights for marketing teams, enabling targeted retention strategies. This solution improved customer engagement and retention by 25%. The project also included A/B testing to fine-tune customer loyalty programs.

• Domain E-commerce
• Technology Data Science and Analytics