HR Attrition Prediction + Attrition Analysis
Manjeet Hooda
Data Visualizer
ML Engineer
Data Analyst
Python
Project Description: Conducted a comprehensive analysis of employee attrition in the HR domain to identify key drivers of turnover and enhance retention strategies.
Technologies Used: Python, Scikit-Learn, Power BI, SQL
Achievements:
• Developed a machine learning model for attrition prediction, achieving an accuracy of 98.16%, enabling proactive HR interventions.
• Identified key factors influencing employee turnover, leading to a 30% improvement in HR retention strategies.
• Created an interactive Power BI dashboard for real-time tracking of attrition metrics, providing actionable insights to HR teams.
