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Hey there! I'm Ghaith.

👨🏻‍💻  About Me

  • 🤔   Exploring new technologies and developing software solutions and quick hacks.
  • 🎓   Studying Computer Science and Applied Mathematics at National School of Engineers of Sfax.
  • 💼   Working as a Graphic Designer for MTC ENIS and a Project Manager for IEEE CIS ENIS SBC.
  • 🌱   Learning more about Artificial Intelligence, Fullstack Web, Mobile and Desktop development, Game development and more...
  • ✍️   Pursuing Game development as a hobbie/side hustle.

🛠  Tech Stack

  • 💻   Python Java PHP C++ C C# dotNet
  • 🌐   HTML5 CSS JavaScript TypeScript Bootstrap Node.js React
  • 📱   React Android Studio
  • 🛢   MySQL MongoDB
  • 🎮   Unity Blender
  • ⚙️   Git GitHub Markdown
  • 🔧   Visual Studio Visual Studio Code IntelliJ IDEA
  • 🖥   Illustrator Photoshop Xd Figma Premier Pro After Effects


🤝🏻  Connect with Me

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Ghaith Oueslati's Projects

boids icon boids

Simulating boid behavior using Unity!

embassy icon embassy

Modern embedded framework, using Rust and async.

titanic-machine-learning-from-disaster icon titanic-machine-learning-from-disaster

The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

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