HR Analytics

This project focused on understanding the drivers of employee attrition and identifying the factors most likely to influence retention decisions within a large organization.

Project context

With a meaningful share of employees leaving the company each year, leadership needed better visibility into which factors were contributing to attrition and where intervention would have the most impact. The analysis highlighted the core workforce drivers that were most strongly associated with retention risk.

Project information

Category: Machine Learning
Language: R
Models: Logistic Regression
Repository: HR Analytics