ML-powered Decision Support System for burnout risk prediction and personalized productivity analysis. Interactive Jupyter dashboard with gap analysis and actionable recommendations.

🏢 Remote Work Burnout Prediction using Explainable AI (XAI). Features advanced behavioral engineering, XGBoost/LightGBM comparisons, and a focus on Recall for high-risk employee detection. Includes a strategic Senior Audit Report. 🚀

Interactive Dashboard for Workplace Burnout Analys

This project focuses on predicting employee burnout using machine learning techniques. Various models such as Logistic Regression, Decision Tree, Random Forest, and XGBoost were implemented and compared.

A Power BI-based dashboard project focused on analysing mental health indicators in the Indian healthcare sector. It includes synthetic data generation using Python and insightful visualizations related to stress, sleep, workload, satisfaction, and support systems among doctors and patients.

A sustainable productivity analytics system that tracks tasks, focus sessions, and daily reflections to measure long-term productivity and detect burnout risk.

MVP para previsão de risco de Burnout

Analyzing and predicting employee burnout using various employee features.

Burnout Checkup is an interactive dashboard designed to explore the relationship between AI tool usage, workload characteristics, and employee burnout risk.