Predictive Employee Attrition

Completion Date:

03-27-2024

Project Overview

This project utilizes data science to accurately predict employee attrition by analyzing historical data and applying advanced modeling techniques. An interactive dashboard, developed using Power BI, delivers these insights, empowering HR teams to identify and mitigate attrition risks proactively. By addressing the significant costs associated with employee turnover, the tool promotes workforce stability and organizational health. Ultimately, it serves as a strategic asset for enhancing talent retention and building a more resilient workforce in contemporary organizations.

Role:

Power BI Developer

Problem Statement

Organizations face significant financial and operational challenges due to employee turnover, which can reach up to 150% of the annual salary for an employee. Traditional attrition prediction methods lack the accuracy and insight needed for effective prevention strategies. This project aims to develop an advanced data-driven tool to accurately predict and mitigate employee attrition risks, enhancing talent retention and organizational stability.

Executive Summary

Data Dictionary

Key Takeaways

Next Steps

Deployment