
CUSTOMER CHURN ANALYSIS
Built an End-to-End Customer Churn Analysis Dashboard focused on identifying customer retention patterns and churn-driving factors.
Key highlights:
• Analyzed 6.4K+ customer records
• Identified a 27% churn rate
• Performed customer segmentation across demographics, tenure, contract type, payment methods, internet services, and geography
• Built interactive KPI dashboards and churn insights visualizations
• Implemented churn prediction workflow using Machine Learning
Tech Stack:
• PostgreSQL
• Python
• Power BI
• Machine Learning
This project helped me strengthen my understanding of:
✅ ETL & data preprocessing
✅ Analytical querying
✅ Business KPI analysis
✅ Dashboard storytelling
✅ Predictive analytics workflows
Looking forward to building more advanced analytics and ML-driven projects 🚀
#PowerBI #Python #PostgreSQL #MachineLearning #DataAnalytics #DataScience #BusinessIntelligence #Analytics #ChurnAnalysis