Data-Driven Insights and Predictive Modelling for Employee Attrition: A Comprehensive Analysis Using Statistical and Machine Learning Techniques
Keywords:
Employee attrition, predictive analytics, machine learning, retention strategies, feature engineering, Explainable AI, workforce management.Abstract
Employee attrition are some important challenges of the organization that affect the stability,operational efficiency, and long-term competitiveness of the organization. Due to a higher attrition rate, the costs can be immense recruitment, training, and decreased engagement directly hit productivity as well as team cohesion and service quality. This research examines the determinants of attrition, including individuation, institutional and external determinants, and explores how data analytics can be utilized for patterns and mitigate these issues. Structured datasets and more complex modelling techniques allow organizations to highlight employees likely
to leave at an early stage, followed by retention strategies that engage with causes, not just symptoms, and improve retention at the same time.
References
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