📊 Data Analysis & Visualization – Student Project

This repository contains a data analysis and visualization project developed as part of a university course. It demonstrates key skills in exploratory data analysis (EDA), data cleaning, statistical summary, and visual communication using Python.

🔍 Project Highlights

• Performed data preprocessing and cleaning
• Created insightful visualizations using matplotlib, seaborn, and pandas
• Identified trends, correlations, and anomalies
• Delivered findings in a structured PDF report

📷 Visual Samples

📁 Files

• code.ipynb – Main Jupyter Notebook with full analysis and visualizations
• report.pdf – Final report summarizing the process and results

🛠️ Technologies Used

• Python
• Jupyter Notebook
• pandas, numpy
• matplotlib, seaborn

🎓 About Me

This project was developed as part of my coursework in Data Science / Computer Science.
I’m currently seeking internship opportunities where I can apply and expand my skills in data analysis, visualization, and machine learning.

Feel free to connect or reach out!

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.