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Fabio Lipreri

AI Engineer at xtream

Fabio Lipreri has a diverse work experience that spans multiple industries and roles.

Starting from 2014, they worked as a Web Developer for sebastiano.riva (office), where they handled various web development projects using PHP, MySQL, Apache, Linux, Javascript, CSS, and HTML.

In 2017, they interned as a Big Data Scientist at Elmec Informatica, focusing on real-time event correlation and developing a Python prototype for clustering similar events from a message broker.

In 2018, Fabio joined CERN as a Machine Learning Engineer Intern, where they worked on developing machine learning algorithms to detect anomalies in CERN data center metrics. Fabio implemented a JAVA prototype and integrated it into the ExDeMon software.

In 2020, they joined Karolinska institutet as a Research Assistant, collaborating with the Jean Hausser lab on an experimental research project. The project aimed to understand the spatial architecture of tumors using unsupervised techniques.

In 2021, Fabio joined FrescoFrigo as a Data Scientist, where they worked until 2022.

Currently, they serve as a Data Scientist at Xtream, starting in 2022.

Overall, Fabio Lipreri has gained experience in web development, big data analytics, machine learning, and research in the fields of biology and data science.

Fabio Lipreri completed their education in a chronological order as follows:

From 2007 to 2012, they attended ISIS John Maynard Keynes Gazzada Schianno, where they earned a degree in Perito industriale capotecnico spec. informatica - InfoWeb. Their field of study was Informatica e Telecomunicazioni.

Fabio then enrolled at Università degli Studi di Milano from 2012 to 2016, where they obtained a degree in Informatica. Fabio was awarded the title of Dottore, specializing in Informatica.

Finally, from 2016 to 2020, Fabio pursued their higher education at Università degli Studi di Milano. During this period, they completed a Laurea Magistrale LM degree in Informatica with a specialization in Predictive Modeling and Data Science.

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