Predicting Employee Turnover with Machine Learning

• Tech Stack: Orange, Python (Web-scraping), Microsoft Excel
• GitHub Repository: Project Link

Introduction: The report focuses on leveraging machine learning to predict employee turnover, addressing the challenges and costs associated with high turnover rates.

Model Selection and Analysis: Various machine learning models are explored and evaluated, with Random Forest selected as the final model due to its superior performance in predicting turnover and maximizing profit.

Profit Maximization Strategy: A detailed profit analysis is presented, suggesting a targeted intervention strategy of offering paid vacations to specific groups of employees based on turnover risk, aiming to retain valuable talent and enhance profitability.

Conclusion:The report concludes that predictive modeling combined with strategic interventions can mitigate employee turnover costs and enhance organizational profitability.