LinkedIn Competitive Analysis

This project combines Exploratory Data Analysis (EDA) in Python with an interactive Power BI dashboard to analyze LinkedIn profile data and uncover competitive workforce insights.

Using Python, I performed data cleaning and statistical exploration to understand distributions of skills, connections, certifications, and profile strength, as well as relationships like skills vs. experience.

I then built a Power BI dashboard that transforms those findings into actionable insights, including:

📊 Average metrics: skills, connections, certifications, profile strength

🔑 Top 20 skills and Top 10 certifications

🧑‍💼 Seniority distribution and Top 5 industries

📈 Job trend over time showing workforce growth

🌍 Heat map of job titles highlighting role concentrations

🎯 Scatter plot of skills vs experience for visual correlation

Tools & Skills: Python (Pandas, Matplotlib, Seaborn), Power Query, Power BI (DAX, data modeling, interactive visualization)

💡 This project demonstrates my ability to combine Python EDA with business intelligence tools to deliver insights on workforce trends, certifications, and industry competitiveness.