The Role of HR Analytics in Predicting Employee Turnover: A Machine Learning Approach for Indian Organizations

Abstract

The study aims to uncover the significance of HR analytics in predicting employee attrition in Indian organizations through a machine learning perspective. In today's competitive and evolving workplace, effective human resource management is vital to retaining staff, and predictive analytics is playing a significant role in this. This research is based on HR data, including salary, job satisfaction, work environment, performance, and career growth, to create machine learning models capable of precisely forecasting employee turnover rates. A number of algorithms are tested and compared to find out which one is the best one to use for prediction and decision support. The results show that machine learning algorithms can substantially improve turnover prediction accuracy, helping HR professionals to target those at risk and take proactive measures to retain them. The findings of this study emphasize the need to leverage HR analytics and AI to enhance workforce planning, minimize employee turnover, and bolster organizational resilience.