Skip to content

Data Analytics Portfolio: This repository showcases data analytics projects, including data cleaning, visualization, statistical analysis, and machine learning. Tools used include Python, SQL, Excel, Power BI, and Tableau. Ideal for exploring real-world datasets and analytics techniques.

Notifications You must be signed in to change notification settings

Mohammad-Ali-SK/HR-Analytics-Dashboard

Repository files navigation

HR Analytics Dashboard

This project showcases an HR Analytics Dashboard built to analyze key employee metrics and provide insights into workforce dynamics. The dashboard is designed to help HR teams monitor employee attrition, satisfaction levels, and demographic distributions effectively.

Key Insights

  • Overall Employees: 1,470 employees analyzed.
  • Attrition Rate: 16.12% attrition observed across departments.
  • Department-Wise Attrition:
    • R&D: 39%
    • Sales: 56%
    • HR: 5%
  • Age Group Analysis: Distribution of employees and attrition rates by age bands (Under 25, 25-34, 35-44, 45-54, Over 55).
  • Education Field: Attrition trends across education backgrounds, including Life Sciences, Medical, Marketing, and more.
  • Job Satisfaction: Ratings across various roles like Managers, Scientists, and Sales Executives.

Tools and Technologies

  • Power BI: Used for interactive data visualization and creating the dashboard.
  • Data Source: HR dataset containing employee details, attrition rates, job satisfaction, and demographics.

Features

  • Interactive Filtering: View metrics by gender, education field, and department.
  • Visualization of Attrition: Department-wise and education-field-wise attrition trends.
  • Job Satisfaction Analysis: Role-specific satisfaction insights.
  • Demographic Breakdown: Analysis of employees by age, gender, and education.

How to Access

  • Clone the repository:
    git clone https://github.com/Mohammad-Ali-SK/HR-Analytics-Dashboard.git  
  • Open the .pbix file (if applicable) in Power BI to explore the dashboard.

Contact

Feel free to reach out for feedback or collaboration via LinkedIn or email mohammadalisk050@gmail.com.

About

Data Analytics Portfolio: This repository showcases data analytics projects, including data cleaning, visualization, statistical analysis, and machine learning. Tools used include Python, SQL, Excel, Power BI, and Tableau. Ideal for exploring real-world datasets and analytics techniques.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published