Challenge
Needed real-time fraud detection across millions of daily transactions.
Solution
Built an ensemble ML model combining XGBoost + neural network with a feature-engineering pipeline.
Results
- 96% fraud detection accuracy
- 40% reduction in fraud losses
- Sub-100 ms inference time