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forensic-data-science

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VictorSunarko / Forensic-Integrated-ML-Pipeline-for-Actuarial-Technical-Pricing

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Forensic-Integrated ML Pricing Engine for French MTPL insurance. Implements a two-stage frequency-severity ensemble (XGBoost, CatBoost, LightGBM) with Benford’s Law data validation, regulatory monotonic constraints, and SHAP-based interpretability.

python ensemble-learning machine-learning-pipelines gradient-boosting risk-management actuarial-science shap optuna insurance-pricing polars forensic-data-science
  • Updated Apr 20, 2026
  • Jupyter Notebook

chirindaopensource / framework_for_high_volume_procurement_oversight_and_decision_support

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End-to-End Python implementation of Christodoulides's (2026) interpretable forensic decision-support engine for institutional procurement integrity. Implements: graph-based supplier entity resolution, robust IQR standardization, Gaussian Mixture Model regime extraction, and a decomposable PHI composite score for prioritized audit triage.

python monte-carlo scikit-learn entity-resolution jupyter-notebook fuzzy-matching networkx expectation-maximization gaussian-mixture-models unsupervised-learning kernel-density-estimation anomaly-detection bayesian-information-criterion explainable-ai replication-study robust-statistics kolmogorov-smirnov-test composite-index procurement-analytics forensic-data-science
  • Updated May 15, 2026
  • Jupyter Notebook

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