HR Workforce & Compensation Analytics | Python Data Analysis Project

An end-to-end Python data analytics project focused on analyzing workforce distribution, employee attrition, compensation, and performance metrics to support HR decision-making.

This project transforms raw HR data into meaningful insights through data cleaning, exploratory data analysis, and interactive visualization.

The analysis covers:

- Employee distribution across departments

- Hiring trends and workforce structure

- Attrition analysis and retention challenges

- Salary and compensation patterns

- Performance rating analysis

- Relationship between experience, salary, and performance

- Work mode and compensation comparison

Tools Used:

Python, Pandas, Plotly, Jupyter Notebook

Project Workflow:

- Data Cleaning & Preprocessing

- Exploratory Data Analysis (EDA)

- Data Visualization

- Insight Generation

- Business Recommendations

The project helps HR teams understand workforce trends, identify retention issues, evaluate compensation strategies, and make data-driven decisions.