From Data to Action: Solving Employee Attrition with Analytics

"I believe that understanding employee attrition through data-driven insights is vital for fostering a stable and engaged workforce. By analyzing key factors such as overtime, compensation, job roles, and work-life balance, organizations can proactively address the root causes of turnover.

Using explainable techniques like Average Marginal Effects (AME) and Decision Trees, I’ve demonstrated that actionable, transparent insights can empower HR teams to make informed decisions. Retaining talent isn't just about reducing costs—it's about creating a workplace that prioritizes employee satisfaction, engagement, and long-term growth.

Let’s use data science to drive meaningful change and build stronger, more resilient organizations."

Discover how explainable analytics—like logistic regression and decision trees—help decode employee attrition, offering insights HR can trust. Full analysis and recommendations here!