HR Attrition Prediction + Attrition Analysis

Manjeet Hooda

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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.
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Posted Feb 6, 2025

Performed an in-depth analysis of financial loan data in the banking domain to identify risk factors and improve decision-making processes.

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Data Visualizer

ML Engineer

Data Analyst

Python

Bank Loan Analysis
Bank Loan Analysis
Shipment Price Prediction
Shipment Price Prediction