TacticSense – Data Science Project (4DS8)

A Data Science project developed as part of the 4DS8 coursework at ESPRIT School of Engineering, focusing on enhancing Esprit’s visibility through GitHub optimization and data-driven insights.

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📌 Overview

TacticSense was created to utilize data science techniques and the resources provided by the GitHub Education program. This project aims to improve Esprit's presence on GitHub by optimizing repositories, applying metadata, and leveraging tools for better discoverability.

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🎯 Objectives

• Use data science techniques to analyze repository engagement and visibility.
• Take advantage of GitHub Education benefits such as hosting (Heroku, DigitalOcean).
• Implement structured documentation, topics, and metadata to improve searchability.

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🛠 Tech Stack & Tools

• Python, Pandas, Matplotlib for data analysis and visualization.
• GitHub API for tracking repository activity and engagement metrics.
• Markdown & SEO for README optimization and metadata structuring.
• Hosting platforms like Heroku, DigitalOcean, and Namecheap for deployment.

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👨‍💻 Contributors

This project was collaboratively developed by:

• Farah Ben Nasr
• AbdLaziz Labidi
• Yacine Hachicha
• Nour Draoui
• Oumeima Sokkeh
• Mustapha Raddaoui

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🙏 Acknowledgments

This project was completed under the guidance of:

• Professor Fares Khachena
• Professor Sarra Zouari

Special thanks to Wiem Trabelsi, Head of the Data Science Department at Esprit, for her support and encouragement.

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🚀 Next Steps

1. Add GitHub Topics to enhance discoverability (data-science, github-education, project-visibility, etc.).
2. Track repository performance using GitHub API analytics.
3. Share the repository with peers, instructors, and the broader Esprit community for collaboration and feedback.