MLOps-Pipeline

End-to-end MLOps pipeline for transaction status prediction. Built with Apache Kafka (KRaft), PostgreSQL, DVC, MLflow, and FastAPI. Covers stream ingestion, data validation, feature engineering, multi-model training (RandomForest, XGBoost, LogisticRegression), experiment tracking, model registry, and REST API serving — all containerized with Docker.