Automated Fraud Detection System
Real-time fraud detection using anomaly detection and ensemble methods
Timeline
2024 • 5 months
Role
ML Engineer
Key Metrics
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Summary
A real-time fraud detection system using advanced anomaly detection algorithms and ensemble methods. Processes millions of transactions with low latency and high accuracy, preventing fraudulent activities effectively.
Tech Stack
PythonMLAnomaly DetectionXGBoostKafkaPostgreSQL
Key Features
- Real-time fraud detection
- Anomaly detection algorithms
- Ensemble learning models
- High-throughput processing
- Low latency inference
- Alert system
What I did
- Developed detection models
- Built real-time processing pipeline
- Implemented alerting system
- Optimized for scale