Fraud Alert

This project implements a real-time fraud detection system for financial transactions. Using advanced analytics and machine learning algorithms, it monitors transaction patterns, identifies anomalies, and flags suspicious activities for further investigation. The system integrates with existing databases and alert mechanisms to provide timely notifications, reducing financial risk and enhancing security. Built with Python, SQL, and automated workflows, it demonstrates expertise in fraud analytics, machine learning, and operational efficiency.