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Anomaly DetectionFinancial Analysis
Completed

A machine learning system designed to detect unusual patterns in financial transactions that could indicate fraudulent activity.

The Challenge

Developing an automated system to identify potentially fraudulent financial activities by detecting anomalies in transaction patterns.

Key Features

  • Real-time transaction monitoring
  • Pattern recognition algorithms
  • Anomaly scoring system
  • Alert generation for suspicious activities

Tech Stack

Python Machine Learning Statistical Analysis Data Processing Financial Data

Implementation

  • Statistical analysis of transaction patterns
  • Machine learning models for anomaly detection
  • Feature engineering for financial data
  • Performance optimization for real-time processing