Employee attrition is a critical issue faced by many companies, leading to increased recruitment costs, loss of experienced talent, and decreased team morale. Besides, inconsistencies in salary packages can affect employee satisfaction and retention. To address these challenges, this project leverages data science techniques to explore the key factors contributing to employee attrition and income levels. This project aims to develop predictive models that could help the HR department identify employees at risk of leaving the company and ensure fair and competitive salary structures. The output of these models will provide actionable insights to support talent retention strategies and guide salary planning for future hires.