Real-Time Transaction Analytics & Fraud Detection

Transaction volumes were scaling past 500K/day but the analytics infrastructure wasn't keeping up. Fraud detection relied on static rules that generated 80%+ false positives. Merchant settlement reporting was manual, error-prone, and consistently late. The ops team was drowning.

• Architected a streaming data pipeline processing transaction events in near real-time with sub-second latency
• Replaced static fraud rules with a scoring model combining velocity checks, device fingerprinting signals, and behavioral anomaly detection
• Automated merchant settlement reports with reconciliation logic that flagged discrepancies before payouts
• Built operational dashboards showing transaction throughput, approval rates, fraud rates, and system health per payment method and geography