Risk & Retention Intelligence Engine

Banking Churn Model

91.6%

Accuracy

95.4% Precision • 87.4% Recall

Fraud Detection Model

96.0%

Accuracy

70.9% Precision • 75.7% Recall

Note: This is a demonstration deployment. Prediction results are simulated as model hosting has expired. For full functionality with trained models, please run the application locally.

Advanced Analytics

30+ comprehensive visualizations covering demographic analysis, customer segmentation, and behavioral patterns

Real-time Predictions

Live ML model inference with sub-second response times and professional-grade logging

Interactive Dashboard

Modern UI with data insights, prediction interfaces, and comprehensive analytics

Production Ready

Enterprise-level architecture with robust error handling and scalable design

Launch Dashboard View Source Code

Key Features & Insights

Geographic Risk

Germany: 32.4%
Spain: 16.7%
France: 16.2%

Gender Analysis

Female: 25.1% churn
Male: 16.5% churn

Age Patterns

Peak: 45-49 (43.4%)
Lowest: 25-29 (7.1%)

Product Impact

3+ Products: 16.2%
higher churn risk