An explanation-first HR analytics system that reconstructs why employee exit becomes rational. Instead of predicting attrition, it generates human-readable exit narratives by decomposing pressure and retention forces, adding peer context and counterfactual interventions to reveal how stability erodes over time.
counterfactual-analysis logistic-regression decision-support people-analytics interpretable-ml explainable-ai systems-thinking human-centered-ai retention-analysis hr-analytics data-storytelling streamlit-app attrition-analysis ml-explainability non-stationary-systems instability-modeling narrative-modeling organizational-dynamics peer-comparison failure-as-process
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Updated
Dec 18, 2025 - Python