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
"The system pays for itself many times over while improving our members experience.
National Credit Union
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