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housing-policy

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Comprehensive machine learning analysis of housing energy inefficiency in France using synthetic data. Implements end-to-end ML pipeline for predicting "passoires thermiques" (energy-inefficient properties) with SHAP interpretability analysis and policy recommendations.

  • Updated Jul 27, 2025
  • Python

End-to-end data engineering pipeline ingesting U.S. public data (BLS QCEW + Census permits), normalizing raw files, building analytical views, and producing reproducible metrics and visualizations. Tech: Python, SQL, DuckDB, Parquet, REST APIs, CLI tooling Focus: ingestion, caching, data modeling, reproducibility, analytics readiness

  • Updated Feb 8, 2026
  • Python

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