Most recruiters check your GitHub before they even look at your resume — and if your repository is empty, messy, or unorganized, it could ruin your chances of getting hired.
In this video (Day 2 of the "Turning Projects Into Job Offers" series), you'll learn how to upload your data analyst projects to GitHub using Git commands, create a professional folder structure, and write a recruiter-ready README file.
Previous video in this Series:
🎯 How to add projects in resume: • Add Your Projects Like This in Resume | Th...
✅ Github link: https://github.com/ayushimishra28/ven...
Project Explained in the video: • Vendor Performance Data Analytics End-To-E...
⌛ Chapters:
0:00 – Why GitHub Can Make or Break Your Interview
2:25 – Create a GitHub Repository with Proper Naming Convention
3:39 – Organize Your Folder Structure
7:42 – Perfect README File
10:52 – Git Commands to Upload Your Project (Step-by-Step)
✅ Job Preparation and Interview Guide: https://topmate.io/ayushi_mishra/page...
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🔥 Subscribe for more data analyst tips, projects, and career advice: https://bit.ly/48MFgCf
🔥 Book 1:1 call with me (Career Guidance, Resume Review, LinkedIn Profile Review) : https://topmate.io/ayushi_mishra/133733
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✅ 7+Data Analysis Portfolio Ready Projects Resources: https://topmate.io/ayushi_mishra
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