HR Analytics & Attrition Prediction

Business Problems

Employee attrition carries significant cost and operational impact. This project looks at the factors behind attrition and builds a predictive model to support earlier intervention.

Recruitment and training costs
Employee retention
Satisfaction and performance
Workload management
Salary-related attrition patterns
Workforce planning

Analytical Workflow

SQL Cleaning→ EDA→ Visualization→ Power BI→ ML Modeling→ Streamlit App

Key Analysis

SQL data cleaning and validation
Attrition distribution
Satisfaction analysis
Salary analysis
Department analysis
Employee tenure
Workload analysis
Correlation analysis
Attrition driver identification

Model Comparison — Reported Results

75.34%Logistic Regression Accuracy

53.17%LR Precision

72.18%LR Recall

95.13%Random Forest Accuracy

87.77%RF Precision

92.23%RF Recall

These are reported model evaluation results from the project. They should not be interpreted as guarantees of employee retention or as the sole basis for employment decisions.