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πŸ‘‹ Hi there! I'm Serena

✨ About Me – In a Nutshell

  • πŸŽ“ Computer Science student at the University of Florence
  • πŸ”­ Currently working on my Bachelor's thesis, focusing on deep learning, convolutional neural networks, and computer vision
  • πŸ“š I'm also self-studying topics such as Machine Learning, PLC programming, and Python for Artificial Intelligence
  • ⚑ Fun fact: In my free time, I love getting lost in the pages of a good book, hiking through forests and mountain trails, traveling, and – of course – tasting everything local cuisine has to offer (purely for cultural reasons, of course 🍝). I also have a passion for hands-on projects: I enjoy building, dismantling, and bringing back to life anything that suddenly decides to stop working.

πŸ“˜ Some Courses I've Completed

Course Name ECTS Grade
Programming 12 30
Algorithms and Data Structures 12 30
Databases and Information Systems 9 29
Computer Architecture 12 30L
Compilers and Interpreters 9 28
Computer Networks 6 30
Analysis of Algorithms and Data Structures 6 28

πŸ’» Technologies, Languages & Tools


πŸ“š IT Books I've Read / Currently Reading

These books are part of my self-learning journey, helping me complement my academic studies with practical knowledge in AI, ML, computer vision, automation, and software design.

Title Topic / Area
HTML & CSS – Jon Duckett Web Development
Absolute Java / Advanced Programming – Walter Savitch OOP Programming
Statistica per le decisioni – Piccolo Statistics
Operating System Concepts – Silberschatz, Galvin, Gagne Operating Systems
Reti Logiche – Bolchini et al. Computer Architecture
Calculus I – Bramanti Mathematics
Discrete Mathematics and Its Applications – Rosen, Carlino Discrete Math / Logic
Legal Science & IT – Parisi, Pietropaoli Legal Informatics
Clean Code – Robert C. Martin Software Engineering
Architecture Patterns with Python – B. Gregory, H. Percival Software Architecture
Doing Data Science – Cathy O’Neil, Rachel Schutt Data Science
Essential Math for AI – Balazs Holczer Math for AI
ML & DS Blueprints for Finance – Hariom Tatsat ML + Finance
Practical ML for Computer Vision – Valliappa Lakshmanan et al. Computer Vision
Programming PyTorch for Deep Learning – Eli Stevens et al. Deep Learning (PyTorch)
AI and Machine Learning for Coders – Laurence Moroney AI for Developers
Think Stats – Allen B. Downey Stats + Python
Software Engineering for Data Scientists – Catherine F. Software Engineering for DS
Advanced Industrial Automation & PLC Programming – Krishna Kumar PLC & Industrial Automation
PLC for Beginners – Josh Aaronson Industrial Systems
Docker: Develop and Deploy with Containers – Serena Sensini Containerization

🧠 β€œStay hungry, stay foolish.” – Steve Jobs

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