Welcome to my Data Science Internship repository! This portfolio showcases the hands-on projects, tools, and learnings I gained during my internship at Unified Mentor in June–July 2025.
👀 Want to explore the Jupyter Notebook (.ipynb) code files?
Head over to the folder here:
🔗 View Notebooks on GitHub
📥 Prefer to download all .ipynb files at once?
Click the link to download a ZIP file of the notebooks:
⬇️ Download ipynb.zip
This repository contains all the project folders, scripts, datasets, and outputs associated with my internship.
🔗 Final documentation report: View PDF
- 📌 Internship Duration: June–July 2025
- 🏢 Organization: Unified Mentor
- 💻 Mode: Remote
- 🧠 Focus Areas: Data Cleaning, EDA, Visualization, Python Programming
- 🛠️ Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Folium, Git, GitHub
| 📁 Project Title | 🔗 GitHub Folder Link |
|---|---|
| Netflix Data Analysis | Netflix |
| Customer Satisfaction Prediction | Customer |
| Boxplot with IQR | Boxplot |
| Standard Deviation Comparison | Standard Deviation |
| Folium Map Visualization | Folium |
| Social Media Usage Pie Chart | Pie Chart |
| Wine Data Analysis | Wine Data Analysis |
This internship has provided a solid foundation in Data Science. I’ve gained practical experience in data wrangling, visualization, statistical analysis, and professional project documentation. I sincerely thank Unified Mentor for this incredible learning opportunity.
🌐 bhuvaneshm.in
📧 bhuvaneshm.developer@gmail.com
🔗 linkedin.com/in/bhuvaneshm-developer
🐙 github.com/bhuvanesh-m-dev