Develop a workforce analytics system that examines employee demographics, performance metrics, and engagement indicators to predict attrition risk. The platform will help HR departments implement proactive retention strategies and improve workforce planning through predictive analytics and visualization techniques.
Collect HR datasets including employee demographics, attendance, salary, and performance records.
Perform data cleaning, handling missing values, and encoding categorical variables.
Conduct exploratory data analysis to identify attrition patterns.
Engineer features such as tenure, promotion frequency, and job satisfaction scores.
Implement classification algorithms like Logistic Regression, Decision Tree, and Random Forest.
Compare models using accuracy, recall, precision, and ROC curves.
Develop dashboards to visualize attrition risk levels across departments.
Create risk scoring mechanisms for HR decision-making.
Implement data security measures to protect employee information.
Test system scalability and document insights with actionable HR recommendations.
