Designed and implemented a machine learning pipeline that strengthened counter-fraud detection for international student sponsorship — reducing sponsored-visa rejections while staying inside new industry-wide regulatory guidelines.
End-to-end pipeline work: messy operational data, model design, evaluation, and a result the sponsorship function could actually use.
- Python
- Scikit-learn
- PyTorch
- Fraud detection