TalentGuard

An AI-powered workforce analytics tool designed to predict employee attrition risk and support proactive HR decision-making.

What’s the problem?

Companies often identify employee attrition too late, leading to high replacement costs and loss of institutional knowledge.

What’s the SOLUTION?

TalentGuard uses machine learning to assign a risk score to each employee and identify the key factors contributing to potential attrition.
This allows HR teams to intervene early and make data-driven retention decisions.

My Story

I designed the end-to-end concept, defined the problem, selected modeling approaches, and developed a prototype using HR attrition data.

How it works

  • Dataset: HR attrition dataset

  • Model: Random Forest

  • Features: satisfaction, tenure, workload, etc.

  • Output: risk score + key drivers

Based on modeled outcomes, TalentGuard could reduce employee attrition by 15–20%, potentially saving up to $2M annually for a mid-sized company