Gianfranco Abrusci

Data Scientist at LiveIntent

Gianfranco Abrusci's work experience includes roles as a Data Scientist at LiveIntent, Inc. starting in August 2022. Prior to that, they worked as High-level Technical Support at TREX Project from October 2020 to July 2022 and as Specialistic Support at CINECA from September 2020 to July 2022. Gianfranco also served as a Doctoral Student at Università di Trento from November 2016 to October 2020 and as a Teaching Assistant for the Computational Biophysics course during that time. Additionally, they were a Student at the School of Innovation-UniTrento from November 2019 to August 2020.

Gianfranco Abrusci has a strong educational background in the field of physics and computational biophysics. Gianfranco completed their Bachelor's degree in Physics at Università degli Studi di Bari from 2007 to 2012. Gianfranco then pursued a Master's degree in Theoretical Physics at the same university from 2012 to 2016.

In 2016, Gianfranco enrolled in Università di Trento to pursue their Doctor of Philosophy (PhD) in Computational Biophysics, which they completed in 2020. During this time, they gained expertise in the application of computational methods in studying biophysical phenomena.

In addition to their academic degrees, Gianfranco has also obtained several certifications to enhance their data analysis skills. These include certifications in Google Data Analytics, Data Analysis with R Programming, Analyze Data to Answer Questions, Share Data Through the Art of Visualization, Process Data from Dirty to Clean, Ask Questions to Make Data-Driven Decisions, Prepare Data for Exploration, and Foundations: Data, Data, Everywhere.

Furthermore, Gianfranco acquired proficiency in Julia programming through the Introduction to Julia (for programmers) course offered by JuliaAcademy in January 2021.

Finally, it should be noted that Gianfranco Abrusci completed their School of Innovation (SoI) program in Business and Entrepreneurship at Università di Trento from 2019 to 2020, demonstrating their interdisciplinary approach and interest in applying their scientific background in a business context.

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Timeline

  • Data Scientist

    August, 2022 - present