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Numbers don't lie. In the world of HR Analytics, data is the compass that guides us to understand employee behavior.

I recently worked on an HR Attrition Analysis project with one main goal: to answer the million-dollar question: "Why do employees leave?"

By analyzing the dataset and building the attached dashboard, I uncovered several interesting insights:

1️⃣ The Age Factor: The data clearly indicates that the age group (18-25) is the most likely to leave, which calls for different engagement and development strategies for this demographic.

2️⃣ Satisfaction & Environment: There is a clear direct correlation between Environment Satisfaction and retention rates. Happy environment = Higher retention.

3️⃣ Work Pressure: OverTime emerged as a major trigger for the decision to resign for a significant segment of employees.

💡 The Bottom Line: Data Analysis isn't just about colorful charts; it's a strategic tool that helps decision-makers improve work culture, reduce turnover, and save significant costs.

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