📊 Project Overview

This project analyzes salary data using AI-assisted techniques to identify patterns, trends, and key factors that influence compensation across different roles, experience levels, and locations.

🎯 Business Problem

Understanding salary distribution is essential for both companies and professionals to make informed decisions regarding hiring, compensation, and career planning.

This project aims to uncover key patterns in salary data and provide actionable insights.

📂 Dataset

• Source: Public dataset
• Type: Salary data
• Includes: job roles, experience level, location, salary

⚙️ Process

• Data cleaning and preprocessing using Python (Pandas)
• Exploratory data analysis (EDA)
• Grouping and comparison by role, experience, and location
• AI-assisted interpretation of trends and patterns

📈 Key KPIs

• Average Salary
• Salary by Role
• Salary by Experience Level
• Salary by Location
• Salary Distribution