Proactive Employee Retention Using Machine Learning

Proactive Employee Retention Using Machine Learning

A. Sowmya Prasoona1, P. Rakesh Kumar2, T. Vamsidhar3, R. Nani4, SK. Althaf Rahaman5

[1-4] B. Tech Student , 5Assistant Professor ,LIET [1,2,3,4,5]Computer Science and System Engineering, Lendi Institute of Engineering and Technology, Viziangaram.

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract –

Employee retention, the ability to keep a workforce, is a growing challenge for companies due to factors like compensation, culture, job satisfaction, and flexibility. As a key aspect of Human Resource Management, retention requires strategic efforts to prevent competitors from luring skilled employees. This paper examines why employees leave, the skills companies should prioritize, and methods to evaluate which employees to retain for long-term growth. Using survey data and a machine learning model, the study found that attending training sessions is the strongest predictor of retention. It recommends investing in continuous training programs to improve employee retention.

Keywords: Employee Retention,Workforce Stability, Human Resource Management, Job Satisfaction, Retention Strategies.