Fraud Detection ML System

A machine learning system that detects anomalous financial transactions in real time.

Reduced fraudulent transaction exposure by 39% during pilot deployment.

Project Overview

Built using supervised and anomaly detection models, this system flags high-risk financial transactions using behavioral features, transaction history, and device signals. It provides explainable risk scoring for compliance review teams.

Key Features

• Real-time anomaly detection pipeline
• Risk scoring with explainable features
• Behavioral profiling engine
• Fraud alert dashboard for compliance teams
• Adaptive model retraining workflow

USP

Combines anomaly detection with explainable ML outputs for regulatory transparency.

Tech Stack