End-to-end MLOps solution for employee turnover prediction with SHAP explainability, fairness auditing, and real-time serving

Prédiction du turnover des employés chez Salifort Motors via l'analyse de données RH et le Machine Learning (Random Forest/XGBoost). Projet Capstone Google Advanced Data Analytics.

This project demonstrates predictive modeling for employee turnover factors for an automotive manufacturer

Sistema Enterprise de People Analytics com Deploy em Nuvem. Predição de Turnover com 80% de Recall usando Scikit-Learn e Streamlit.

Predict employee voluntary turnover using a rank-constrained decision tree with isotonic calibration and temporal cross-validation.

Motor preditivo end-to-end de People Analytics. Antecipa o risco de turnover e projeta a curva de retenção de talentos utilizando Machine Learning (Regressão Logística e Análise de Sobrevivência) integrado a um Modern Data Stack.

End-to-end People Analytics: ML pipeline (XGBoost, SMOTE, SHAP) for employee turnover prediction + interactive Power BI dashboard. AUC 0.82.

Modelo preditivo de turnover voluntário com LightGBM, predição 4 meses à frente, pipeline completo 01-10