Fabio Prandoni

Fabio Prandoni Email and Phone Number

.NET Engineer presso Aleph Digital Industry @ Aleph Digital Industry
Fabio Prandoni's Location
Treviso, Veneto, Italy, Italy
About Fabio Prandoni

Right after my master degree in computer science engineering, I dedicated myself to a small company to learn lots of web tools like Javascript, jQuery, Php, WordPress, Magento, Sql. In almost a year at this position, I changed for a more structured company to learn machine learning, using Python. I also have participated to a web app React.js project (using Java and MongodDb for the backend). Since then, my main goal is to become an AI expert and bring the ML and computer vision of companies to the next level.PS: In the meanwhile, I'm producing professional Epic/Soundtrack/Trailer Music collaborating with big American music trailer companies like Dos Brains and Atom Music Studios.

Fabio Prandoni's Current Company Details
Aleph Digital Industry

Aleph Digital Industry

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.NET Engineer presso Aleph Digital Industry
Fabio Prandoni Work Experience Details
  • Aleph Digital Industry
    Data Scientist
    Aleph Digital Industry Mar 2020 - Present
    Roncade, Treviso, Italia
  • Previnet S.P.A.
    Data Scientist
    Previnet S.P.A. Mar 2018 - Mar 2020
    Preganziol, Veneto, Italy
  • Emmecubo
    Sviluppatore Web
    Emmecubo May 2017 - Mar 2018
    Treviso, Italia

Fabio Prandoni Skills

Machine Learning Python Natural Language Processing Produzione Musicale Data Analysis Mongodb React.js Html Java Sql Keras Deep Learning Predict Data

Fabio Prandoni Education Details

Frequently Asked Questions about Fabio Prandoni

What company does Fabio Prandoni work for?

Fabio Prandoni works for Aleph Digital Industry

What is Fabio Prandoni's role at the current company?

Fabio Prandoni's current role is .NET Engineer presso Aleph Digital Industry.

What schools did Fabio Prandoni attend?

Fabio Prandoni attended Università Degli Studi Di Padova.

What skills is Fabio Prandoni known for?

Fabio Prandoni has skills like Machine Learning, Python, Natural Language Processing, Produzione Musicale, Data Analysis, Mongodb, React.js, Html, Java, Sql, Keras, Deep Learning.

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