Overview
Built an anomaly detection model using supervised and unsupervised approaches. Includes MLOps pipeline, monitoring, and model retraining automation.
Technologies
- Python, Scikit-learn
- XGBoost / Isolation Forest
- MongoDB Atlas + Firestore Hybrid Architecture
- FastAPI + Docker