HR Analytics Project 📊

📌 Overview

This project analyzes an HR Analytics dataset to identify patterns in employee attrition, performance, and demographics.
The goal is to provide insights that can help HR departments improve retention, employee satisfaction, and workforce planning.

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🗂 Dataset

• File: HR_Analytics.csv
• Key features include:
  • Employee ID
  • Department
  • Education
  • Age
  • Attrition (Yes/No)
  • JobSatisfaction
  • MonthlyIncome
  • PerformanceRating
  • ... (other columns)

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🔍 Analysis Performed

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA):
  • Attrition by gender, department, and education
  • Impact of income, age, and job satisfaction on attrition
  • Performance vs. retention trends
• Visualization using Power-Bi

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📊 Key Insights

• Higher attrition was observed in specific departments.
• Younger employees showed higher turnover rates.
• Employees with lower job satisfaction and income were more likely to leave.

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🚀 How to Run

1. Clone the repository:

   git clone https://github.com/<your-username>/HR-Analytics-Project.git