Credit Card Fraud Detection

Description

Internal research project focused on analyzing and implementing ML techniques for fraud detection.

Technologies Used

• Machine Learning
• Anomaly Detection
• Python

Challenges

• Developing high-accuracy fraud detection models
• Minimizing false positives in fraud detection
• Handling large-scale transaction datasets

Outcomes

• Implemented ML models for real-time fraud detection
• Reduced false positive rates in transaction analysis
• Enhanced security in financial transactions