Bank-Customer-Churn-Analysis

Yuvaraja T
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Analyzed 10,000 customer records to find which segments churn most and why. Validated the data, compared churn rates across geography, gender, and activity status, and built a reusable high-risk customer flag for retention targeting.

Key findings:
• Overall churn was 20.4%, but Germany reached 32.4%, about double France and Spain
• Inactive women in Germany were the highest-risk segment at 44.6% churn
• Inactive members churned at up to 2x the rate of active members in the same segment
• Churned customers in Germany held the highest average balance (~120K), which raises the revenue impact