Power BI workforce analytics dashboard to analyze employee attrition and retention risk.
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Updated
Jan 4, 2026
Power BI workforce analytics dashboard to analyze employee attrition and retention risk.
IBM Telco customer churn prediction
Telecom Churn Prediction Model using ANN
Analyze employee attrition trends using IBM's fictional HR dataset. This intermediate-level project leverages Python, machine learning, SQL, and Excel to uncover key factors influencing turnoversuch as job satisfaction, income, and work-life balanceempowering data-driven HR decisions and retention strategies.
This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest
IBM HR Analytics Dashboard - A comprehensive Power BI dashboard analyzing employee attrition patterns across departments, demographics, and tenure. Features interactive visualizations revealing key insights into workforce retention challenges, with a 16.12% attrition rate affecting 237 employees across various job roles and experience levels.
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