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Flags healthcare claims likely to deny before submission, cutting simulated rework cost 38.5% on held-out future claims. Leakage-safe DuckDB SQL feature layer, calibrated sklearn models compared on a time split, cost-based decision threshold, batch CLI scoring 45k claims/sec. Synthetic data only, no PHI.
Updated
Aug 11, 2026
Python
MLOps project that recommends movies to watch implementing Data Engineering and MLOps best practices.
Updated
Jul 15, 2024
Jupyter Notebook
Reproducible credit-default modeling in Python with PostgreSQL ingestion, XGBoost, SHAP explanations, calibration analysis, simulated lending policies and portable batch scoring.
Updated
Oct 11, 2026
Python
Production-style batch ML pipeline for delivery lead-time risk scoring using Python, SQL and BigQuery.
Updated
Apr 8, 2026
Python
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