5 Data Analysis Projects Using Python to Boost Your Resume

Want to impress recruiters and show off your real data skills? Here are 5 hands-on Python projects that you can add to your portfolio today. Each one uses powerful libraries like Pandas, NumPy, Matplotlib, and even Machine Learning — great for showing practical experience with real datasets.


1. Workforce Analysis (HDFC Bank Use Case)

Analyze HR data from a major bank to understand employee trends and retention. This project lets you explore data cleaning, visualizations, and key statistics — perfect for demonstrating practical workforce analytics.
Project Link

2. Customer Shopping – Market Basket Analysis

Get insights into customer buying behavior by analyzing shopping baskets and product combinations. Learn how to handle transactional data and create actionable market strategies.
Project Link

3. Weather Forecasting Data Analytics

Dive into weather datasets to forecast conditions, understand trends, and visualize climate data. This project enhances your skills in time-series analysis and data visualization.
Project Link

4. SBI General Insurance Use Case

Predict insurance claim likelihood using machine learning techniques and real claim data. Show recruiters you can build predictive models that solve real business problems.
Project Link

5. Airlines Booking Analysis

Analyze airline booking patterns to optimize pricing and improve customer experience. This project taps into big data handling and exploratory data analysis.
Project Link


Why These Projects?

  • Real-world datasets: Each project works with actual, meaningful data to simulate job scenarios.
  • Popular Python packages: You’ll practice with Pandas, NumPy, Matplotlib, and more — tools every data analyst should know.
  • Portfolio booster: These projects are perfect for your GitHub profile, showcasing your skills to employers.

Start building your resume with practical experience today! Check out the project guides linked above and code along to add powerful projects to your portfolio.


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