Finance
Financial Fraud Detection System
Machine learning-based anomaly detection for identifying fraudulent transactions
- Python
- Scikit-learn
- SQL
About this project
Implemented a real-time fraud detection system using supervised and unsupervised machine learning algorithms. The solution analyzes transaction patterns, user behavior, and network connections to flag suspicious activities. Achieved 96% accuracy in detecting fraudulent transactions with minimal false positives, preventing $2.5M in potential losses annually.