https://github.com/prithviraj-2003/cognifyz-data-science-internship
🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF
https://github.com/prithviraj-2003/cognifyz-data-science-internship
data-analysis data-science data-visualization matplotlib numpy pandas python3
Last synced: 3 months ago
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🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF
- Host: GitHub
- URL: https://github.com/prithviraj-2003/cognifyz-data-science-internship
- Owner: Prithviraj-2003
- Created: 2025-04-15T15:54:27.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-15T16:03:46.000Z (over 1 year ago)
- Last Synced: 2025-04-17T22:05:27.992Z (over 1 year ago)
- Topics: data-analysis, data-science, data-visualization, matplotlib, numpy, pandas, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 4.62 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Data Science Internship at Cognifyz
Welcome to the repository for my 2-month **Data Science Internship at Cognifyz Technologies**. During this internship, I was assigned a real-world restaurant dataset and tasked with completing a series of data science challenges across **three levels**, each with multiple sub-tasks.
All tasks were aimed at building my practical skills in data cleaning, exploration, visualization, and model building using Python and essential data science libraries.
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## 🏢 Internship Overview
- **Company:** Cognifyz Technologies
- **Role:** Data Science Intern
- **Duration:** 2 Months
- **Project:** Restaurant Data Analysis
- **Task Structure:** 3 Levels, with multiple tasks in each level
- **Tools Used:** Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook
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## 🔍 Key Skills Applied
- Exploratory Data Analysis (EDA)
- Data Preprocessing and Cleaning
- Feature Engineering
- Data Visualization
- Reporting Insights
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📑 Acknowledgements
I would like to thank Cognifyz Technologies for this opportunity and for providing structured, practical tasks that enhanced my understanding of data science.