Predictive Risk Engine for a Regional Bank
A mid-tier bank was losing $2.3M annually to fraud that traditional rule-based systems couldn't detect.
Deployed an ML-powered anomaly detection pipeline processing 4M+ transactions daily with real-time scoring and automated case escalation.
