Marcello Politi

Machine Learning Scientist at Pi School
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Rome Metropolitan Area, IT

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Bio

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Credentials

  • Mathematics for Machine Learning
    Imperial College London
    Dec, 2022
    - Oct, 2024
  • Living Planet Symposium 2022 - Certificate of Attendance
    European Space Agency - ESA
    Jun, 2022
    - Oct, 2024
  • Pandas
    Kaggle
    Dec, 2021
    - Oct, 2024
  • Computer Vision
    Kaggle
    Nov, 2021
    - Oct, 2024
  • Intro to Deep Learning
    Kaggle
    Nov, 2021
    - Oct, 2024
  • Data Cleaning
    Kaggle
    Oct, 2021
    - Oct, 2024
  • Intermediate Machine Learning
    Kaggle
    Sep, 2021
    - Oct, 2024
  • Intro to Machine Learning
    Kaggle
    Sep, 2021
    - Oct, 2024
  • C# Unity Game Developer 2D
    Udemy
    Sep, 2020
    - Oct, 2024
  • C# Unity Game Developer 3D
    Udemy
    Sep, 2020
    - Oct, 2024
  • Machine Learning By Standford University
    Coursera
    Sep, 2020
    - Oct, 2024
  • Java EE Developer
    Udemy
    Jan, 2019
    - Oct, 2024
  • Arduino course
    FabLab Lazio
    Mar, 2017
    - Oct, 2024
  • Advanced Computer Vision
    Courser
  • Advanced English Course
    Berlitz Corporation
  • CUDA C++ Masterclass
    Udemy
  • Flutter for IOS & Android Apps
    Udemy

Experience

    • Italy
    • Professional Training and Coaching
    • 1 - 100 Employee
    • Machine Learning Scientist
      • Feb 2023 - Present
    • Austria
    • Aviation and Aerospace Component Manufacturing
    • 200 - 300 Employee
    • Member & Event Manager
      • Jul 2022 - Present
    • Czechia
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Specialist
      • Nov 2022 - Mar 2023
    • France
    • Space Research and Technology
    • 700 & Above Employee
    • Software Engineer (YGT)
      • Sep 2021 - Sep 2022
    • France
    • Research Services
    • 700 & Above Employee
    • Deep Learning Researcher
      • Mar 2021 - Jul 2021

      The internship aims at tackling the problem of compressing artificial neural networks via iterative pruning approaches. I will review state-of-the-art approaches, devise variants of known methods and possibly design novel approaches, and extensively validate those methods against known ones. Iterative pruning methods have been a classical approach for neural network compression since several decades. While earlier methods relied on heuristic arguments, such as assumptions on the Taylor approximation of the loss function, recent approaches have attempted to provide rigorous guarantees by leveraging algorithmic techniques. The project will focus on the assessment of the merits and shortcomings of such recent contributions, and possibly derive novel approaches based on algorithmic insights. The proposed implementation language for the project is the Julia language. Show less

    • Data Analyst
      • Sep 2020 - Feb 2021

      Intern at ESRIN for the Common Services Section (EOP-GES) Tasks description: •Analyse website data on traffic patterns, behaviour, navigation and user flows •Answer key questions through statistical analyses, reporting and dashboards using analytics toolset •Share data views to enable responsible staff to optimize decision making •Analyse internet trends to identify future technology needs and internet patterns •Identify methodologies and technologies for data and content linking •Advise on Search Engine Optimisation and best practice using the Search Engine Console tool •Assist in the review of the ESA Earth Observation Web Development Guidelines Show less

    • Italy
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Professional Course Java EE
      • Feb 2019 - Mar 2019
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Hackathon Tor Vergata 2019 - Organizer
      • Jan 2019 - Mar 2019

      - Website creator- Logistic- Development of competition themes

    • Scolarship holder
      • 2019 - 2019

      During this period I delevoped a mobile application using Flutter for the department of Physics of the University of Tor Vergata

Education

  • Università di Roma Tor Vergata
    Master of Science - MS, Computer Science
    2019 - 2021
  • Pi School
    School of Artificial Intelligence
    2022 - 2022
  • Deep Learning Italia
    Advanced Master, Deep Learning
    2021 - 2022
  • Dock3 - The Startup Lab
    2021 - 2021
  • Università di Roma Tor Vergata
    Bachelor of Science - BS, omputer Science
    2016 - 2019

Community

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