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mlflow

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This project aims to build an end-to-end loan default prediction system for a Non-Banking Financial Institution (NBFI). The system is designed to ingest, clean, process, and predict loan default probabilities while ensuring model deployment, monitoring, and automated CI/CD.

  • Updated Feb 18, 2025
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An end-to-end MLOps pipeline for a production-grade fraud detection model. This project demonstrates best practices including data versioning (DVC), experiment tracking (MLflow), CI/CD (GitHub Actions), containerization (Docker), deployment on GKE, and advanced model analysis (poisoning attacks, drift, fairness, explainability).

  • Updated Aug 25, 2025
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