Juan Priolo

Education

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  Instituto Albert Einstein

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  Bachillerato Secundario
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  ITBA Universidad

  2020 - 2023

  Data Science Specialization

  The use of Machine Learning (ML) methods is considered one of the most promising technologies for predicting material properties. The implementation of these techniques could bring considerable benefits in terms of cycle times, product rejection rates or could also be very useful for new materials development.In this work, different Machine Learning techniques were studied to predict one of the most relevant variables in the world of Materials Science and in particular in steel… Show more The use of Machine Learning (ML) methods is considered one of the most promising technologies for predicting material properties. The implementation of these techniques could bring considerable benefits in terms of cycle times, product rejection rates or could also be very useful for new materials development.In this work, different Machine Learning techniques were studied to predict one of the most relevant variables in the world of Materials Science and in particular in steel components, which is the Tensile Strength. Show less

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  ITBA Universidad

  2022 - 2023

  Management & Analytics
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  Universität des Saarlandes

  2016 - 2017

  Master's degree Materials Science and Engineering
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  Universidad Nacional de Mar del Plata

  2011 - 2017

  Ingeniero en Materiales