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👋 Hello, I am Sotiris Tzamaras!

💫 About Me

I am passionate about data science and its endless possibilities. I enjoy learning new skills and techniques every day to enhance my data analysis capabilities. I believe in lifelong learning and I am always eager to expand my academic and professional horizons. I am an active member of several data science communities, where I share my work and insights with other data enthusiasts.

My academic background is a B.Sc. in Computer Engineering from the Department of Informatics and Telecommunications at the University of Ioannina, which I completed in 2020. Since then, I have been working as a Software Engineer, aiming to create robust and intelligent systems with high-quality code. I have developed a strong interest in artificial intelligence and Cyber-Physical systems through my engineering experience.

I recently enhanced my academic background with a master's degree in information technology, specializing in data science and artificial intelligence, from the University of Grenoble in France. I am now more eager then ever to apply my data science skills and create cutting-edge AI models to tackle various problems. Some of the skills I acquired include machine learning, problem solving, and creative thinking.

🔭 I’m currently working on the field of Data Science
🌱 I’m currently learning data engineering and analytics
💬 Ask me about anything and everything!
😄 Future Goals: Learn more technologies and write more robust code

🌐 Socials

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💻 Tech Stack

Languages

Python C++ Java Scala LaTeX Markdown JavaScript NodeJS

Databases

MongoDB MySQL SQLite

Artificial Intelligence

TensorFlow Keras Matplotlib NumPy Pandas scikit-learn

Frameworks and Libraries

FastAPI Django Astro

Other

Git Docker Raspberry Pi Arduino

📊 GitHub Stats


Sotiris Tzamaras's Projects

fered icon fered

FeReD is a system that contrasts the performance of cross-device federation using Q-learning, a popular reinforcement learning algorithm.

sensor-media-control icon sensor-media-control

Media controller using device's sensors implemented in Python and Android for the course ARVR of M2 MoSIG.

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