Predict Employee Attrition
Hamza Khan
🤖 Employee Attrition Analysis (Jupyter Notebook + ML + SHAP)
Here’s a quick breakdown of my Data Analysis project on predicting employee attrition and its business impact.
🔍 Key Features:
Feature Importance using SHAP Values
Visual Insights (Age, Salary, Travel Frequency)
Random Forest Classification & Model Evaluation
Confusion Matrix & Explainability
📈 Business Impact:
Helped HR identify key attrition factors (Age & Salary), improve retention strategies, and address high-risk employee segments.
💡 Tools Used: Python, Jupyter, Pandas, SHAP
📊 Project Scope: HR Attrition Dataset
✅ Skills: Data analysis | Predictive Analytics | Model Explainability
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Posted Aug 7, 2025
Analyzed employee attrition using ML and SHAP; found age and salary as key factors. Delivered insights to boost retention and guide HR decisions.
