Predict Employee Attrition

Hamza Khan

๐Ÿค– Employee Attrition Analysis (Jupyter Notebook + ML + SHAP)
Hereโ€™s a quick breakdown of my Data Analysis project on predicting employee attrition and its business impact.
๐Ÿ” Key Features:
Feature Importance using SHAP Values
Visual Insights (Age, Salary, Travel Frequency)
Random Forest Classification & Model Evaluation
Confusion Matrix & Explainability
๐Ÿ“ˆ Business Impact: Helped HR identify key attrition factors (Age & Salary), improve retention strategies, and address high-risk employee segments.
๐Ÿ’ก Tools Used: Python, Jupyter, Pandas, SHAP ๐Ÿ“Š Project Scope: HR Attrition Dataset โœ… 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.

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