Production-grade data engineering & ML pipeline for mid-year fleet maintenance cost anomaly detection. Features a star schema (SCD Type 2), Monte Carlo forecasting, XGBoost/Logistic Regression models, and automated escalation on 300K+ records.
python machine-learning data-engineering xgboost monte-carlo-simulation predictive-maintenance etl-pipeline dax-measures anomally-detection sql-star-schema
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Updated
Jul 17, 2026 - Python