Finance

Fraud Detection for Financial Institution

The Challenge

Rising fraud losses and high false positive rates disrupting customer experience.

Our Solution

Built real-time ML fraud detection system analyzing transaction patterns and user behavior.

The Results

95% fraud detection accuracy, 70% reduction in false positives, $5M annual savings in prevented losses.
95% detection accuracy
70% fewer false positives
$5M saved annually
<100ms processing

Technologies Used

Scikit-learn Apache Kafka PostgreSQL Docker
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The system pays for itself many times over while improving our members experience.

National Credit Union

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