Artifact-driven ML delivery framework based on CRISP-DM for structured and reproducible ML workflows
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Updated
Apr 16, 2026
Artifact-driven ML delivery framework based on CRISP-DM for structured and reproducible ML workflows
End-to-End MLOps pipeline for predictive modeling. Implements Experiment Tracking with MLflow, modular architecture based on Cookiecutter Data Science, and production-ready logging.
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Automated Data Scientist: An intelligent, adaptive data analysis tool that leverages AI-driven automation to dynamically plan, execute, and refine data science workflows. Automatically handles data preparation, analysis planning, code generation, and result interpretation using advanced language models.
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