https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor
🧠 Data Science Internship Projects | Netflix Data Cleaning & Customer Satisfaction Analysis using Python, Pandas, Seaborn, Matplotlib
https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor
data-science internship student-developer student-project
Last synced: 6 months ago
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🧠 Data Science Internship Projects | Netflix Data Cleaning & Customer Satisfaction Analysis using Python, Pandas, Seaborn, Matplotlib
- Host: GitHub
- URL: https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor
- Owner: bhuvanesh-m-dev
- Created: 2025-06-15T14:01:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-12-29T06:24:24.000Z (6 months ago)
- Last Synced: 2026-01-01T03:18:19.564Z (6 months ago)
- Topics: data-science, internship, student-developer, student-project
- Language: Jupyter Notebook
- Homepage: https://bhuvanesh-m-dev.github.io/ds-intern-unified-mentor/
- Size: 16.2 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Data Science Internship Portfolio – Unified Mentor
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.
🔗 Verified Certificate: [Click Here](https://unifiedmentor.com/verify-certificate/UMID10062542133)
---
### 📘 Jupyter Notebook Access
👀 **Want to explore the Jupyter Notebook (`.ipynb`) code files?**
Head over to the folder here:
🔗 [View Notebooks on GitHub](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/storage/ipynb)
📥 **Prefer to download all `.ipynb` files at once?**
Click the link to download a ZIP file of the notebooks:
⬇️ [Download ipynb.zip](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/raw/main/storage/ipynb/ipynb.zip)
---
## 📂 About This Repository
This repository contains all the project folders, scripts, datasets, and outputs associated with my internship.
🔗 **Final documentation report:** [View PDF](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/blob/main/document/DS%20intern.pdf)
---
## 🧑🎓 Internship Summary
- 📌 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 Index
| 📁 Project Title | 🔗 GitHub Folder Link |
|-------------------------------------|------------------------|
| Netflix Data Analysis | [Netflix](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/netflix) |
| Customer Satisfaction Prediction | [Customer](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/customer) |
| Boxplot with IQR | [Boxplot](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/boxplot_with_iqr) |
| Standard Deviation Comparison | [Standard Deviation](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/deviation) |
| Folium Map Visualization | [Folium](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/folium) |
| Social Media Usage Pie Chart | [Pie Chart](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/pie_chart) |
| Wine Data Analysis | [Wine Data Analysis](https://github.com/bhuvanesh-m-dev/ds-intern-unified-mentor/tree/main/statistics) |
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## 📝 Final Reflection
> 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.
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## 🙋♂️ BHUVANESH M
🌐 [bhuvaneshm.in](https://bhuvaneshm.in)
📧 [bhuvaneshm.developer@gmail.com](mailto:bhuvaneshm.developer@gmail.com)
🔗 [linkedin.com/in/bhuvaneshm-developer](https://linkedin.com/in/bhuvaneshm-developer)
🐙 [github.com/bhuvanesh-m-dev](https://github.com/bhuvanesh-m-dev)
---