This project analyzes factors linked to employee turnover (attrition), identifies key reasons why employees leave, and provides actionable recommendations to help companies improve employee retention.
The goal of this project is to analyze organizational data to:
- Understand which factors most strongly influence turnover (such as pay, workload, management quality, and commute).
- Develop a predictive model to identify employees most likely to leave.
- Provide clear, practical recommendations to reduce employee turnover, improve employee satisfaction, and retain top talent.
- Data Analysis: R
- Predictive Modeling: Random Forest
- Visualization: ggplot2