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evidently

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End-to-end platform for training, deploying, and monitoring a churn prediction model—built using MLOps best practices and tools applied from the DataTalksClub MLOps Zoomcamp. Project earned the highest-tier score (achieved by 11 out of 200+ cohort participants) in peer-reviewed project assessment.

  • Updated Sep 5, 2025
  • Jupyter Notebook

Production-grade MLOps pipeline for image classification. EfficientNet-B0 trained on 14,000 real images (86.85% accuracy) with FastAPI serving, A/B testing, MLflow model registry, drift detection, and GitHub Actions CI/CD. Deployed on Railway. Built for Adobe ML Engineer application.

  • Updated May 31, 2026
  • Python

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