Predictive Model for Employee Attrition Risk Assessment

Abstract

In the contemporary business landscape, organizations face a significant challenge in the form of employee attrition. This phenomenon entails a reduction in the workforce, resulting from either voluntary resignations or management-driven terminations. The departure of employees not only leads to a loss of human resources but also diminishes the organization's expertise and revenue generation potential associated with those individuals. As a result, it becomes imperative for companies to proactively anticipate and mitigate the risks associated with attrition by implementing preventive measures and making well-informed decisions.

Within the scope of this research paper, we introduce a sophisticated model that leverages advanced Machine Learning techniques to accurately predict employee attrition. The model's development involved meticulous design and comprehensive evaluation, utilizing diverse company profiles. The findings demonstrate the model's efficacy in maximizing employee retention, empowering management to address attrition-related challenges proactively and make strategic decisions that ultimately benefit the organization.