Fraud Detection System for E-Commerce Payments
- Tags
- Machine Learning, Fraud Detection, Random Forest, XGBoost, Real-time Processing, Anomaly Detection, Feature Engineering, Risk Assessment, E-Commerce
- Solutions
- 1
- Published
- 2025-07-09
Problem
Advanced machine learning system to detect fraudulent transactions in real-time using ensemble methods, behavioral analysis, and anomaly detection. Processes thousands of transactions per second with 0.1% false positive rate.
Solutions
- Real-time Fraud Detection Pipeline with XGBoost (XGBoost, Apache Kafka, Redis, Elasticsearch, Python, Docker) – Comprehensive fraud detection system using XGBoost ensemble with real-time feature engineering and threshold adaptation based on transaction patterns.