classSimone:def__init__(self):self.name='Simone'self.surname='Mattioli'self.education='Unibo'self.experience= ['Gruppo Maggioli']self.roles= ['Machine learning engineer','Data scientist','Software engineer']self.interests= ['Machine Learning','Deep Learning','Computer Vision','NLP']self.languages= ['English','Italian']self.hobbies= ['Calisthenics','Soccer','Theater','Musical']

• Personal Blog : Actively writing blog posts about my research projects mainly focused on Machine Learning, Deep Learning, NLP and Computer Vision. Give it a look!

• ChessApp : Android application for chessboard detection using Computer Vision to recognize the current board state and suggest the best next move;

• ReceiptTextRecognizer : Android application to detect and extract textual information from pictures of receipts;

• Speech2Text : Finetuned and evaluated transformer neural networks to improve speech transcriptions of online webinars;

• PlanetDance : Front-end react application which draws patterns made by planets while they move around the Sun;

• SoccerRolesClassifiers : A machine learning project that study the best approaches to classify the role of a soccer player by using his phisical and technical features;

• Q-Learning : Research project about Transfer Learning, expecially Q-Learning, using the cartpole task;

🎓 Academic achievements

• Master's Degree grade: 106/110.
• Bachelor's Degree grade: 101/110.
• Mentee at Leed The Future leading mentorship organization for students in STEM, that guides me to achieve my goals and contribute to the community by giving me one-on-one guidance from high-impact mentors;

📫Connect with me

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1. ChessAppChessAppPublic

   Deep Learning for computer vision project. Android application for chess board detection and pieces prediction using a neural network for classification trained on home-made dataset and tested on d…

   Java 3

2. ReceiptTextRecognizerReceiptTextRecognizerPublic

   A text detection and text recognition project built for receipts. A mobile application and a server are used to pre-process the receipt image and extract the text using Tesseract-ocr.

   Java

3. SoccerRolesClassifiersSoccerRolesClassifiersPublic

   A research project that study the best approaches to classify the role of a soccer player by using his phisical and technical features. Built with @lucamarini22.

   HTML

4. Q-LearningQ-LearningPublic

   Reinforcement Learning algorithm - Q-Learning

   Python

5. PlanetDancePlanetDancePublic

   React application built to show the amazing patterns drawn by planets' revolution around the Sun.

   TypeScript 1

6. Speech2TextSpeech2TextPublic

   Python