Fraud Detection
A machine-learning pipeline that uses feature engineering and supervised learning to identify suspicious transactions in imbalanced financial data.
Machine learning · anomaly detection · data engineering
This project shows how I approach an applied engineering problem: clarify the user need, choose a focused architecture, connect the required services, and shape the result into a usable product.
- Python
- Pandas
- Scikit-learn