FinTime
Customer Financial Behaviour Analytics
End-to-end BI project for a FinTech use case — analyzes transaction patterns, identifies churn risk using a 90-day inactivity rule, measures revenue exposure, and segments customers into Premium, Standard, and Low Value tiers. Delivered via a 4-page Power BI dashboard covering executive KPIs, segmentation, churn health, and strategic recommendations.
Key features & capabilities.
90-day inactivity churn definition — industry-standard early detection window
Premium / Standard / Low Value segmentation with revenue contribution breakdown
Revenue-at-risk quantification by churned customer segment
Peak transaction time analysis — 6 PM–9 PM identified as busiest window
6-script SQL pipeline: loading → cleaning → feature engineering → segmentation → churn → insights
Executive Overview, Segmentation, Churn Health, and Insights & Recommendations pages
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