Employee Attrition Prediction

Employee Attrition Prediction focuses on forecasting which employees are likely to leave an organization and why, using historical HR and workforce data. By analyzing factors such as tenure, role, performance, compensation, engagement scores, manager changes, and promotion history, these systems generate individual risk scores and highlight key drivers of potential turnover. The goal is to move from reactive replacement hiring to proactive retention planning. This application matters because unwanted turnover is costly and disruptive—it increases recruiting and training expenses, erodes institutional knowledge, and harms morale and productivity. Predictive models help HR and business leaders target interventions (e.g., career development, compensation adjustments, manager coaching, workload balancing) where they will have the most impact. As a result, organizations can reduce churn, stabilize critical teams, and improve workforce planning and budgeting accuracy.