Alberto Donizetti

Data Scientist, R&D at Zemanta

Alberto Donizetti has extensive work experience in the field of data science and analysis. In 2013, they completed a summer internship at Persico Group. From 2014 to 2014, they worked as an intern at CEA - Commissariat à l'énergie atomique et aux énergies alternatives, where they focused on developing a MATLAB classification algorithm for seismic events.

In 2016, Alberto joined Criteo, starting as a Local Data Analyst I and eventually working their way up to become a Squad Leader in the Global Automation Data team. Alberto'sresponsibilities at Criteo included complex ad-hoc analyses, data retrieval using SQL, Vertica, and Hive, programming in Python, R, and Shiny, visualization using Tableau, and client-facing presentations.

Currently, Alberto is employed at Zemanta, an Outbrain company, where they hold the position of Data Scientist in the R&D department. Alberto'sspecific roles and responsibilities at Zemanta are not provided.

Alberto Donizetti's education history showcases their strong background in mathematical engineering and statistics. Alberto obtained a Bachelor of Science degree in Mathematical Engineering from Politecnico di Milano in 2014. During their undergraduate years, they also attended Liceo Scientifico Statale Lorenzo Mascheroni from 2005 to 2010, where they obtained their high school diploma with a focus on mathematics.

Furthering their studies, Alberto pursued a Master's Degree in Mathematical Engineering with a specialization in Applied Statistics at Politecnico di Milano from 2014 to 2017. In addition to their academic pursuits, they also attended Alta Scuola Politecnica from 2014 to 2016, although the specific degree and field of study are not provided.

Expanding their knowledge beyond Italy, Alberto attended CentraleSupélec from 2012 to 2014, earning a Master of Science degree in Mathematics and Statistics. Alberto also attended Université Paris Dauphine - PSL in 2013 and 2014, where they obtained a Bachelor's degree in Applied Economics.

In terms of additional certifications, Alberto completed two courses on Coursera in December 2017. The first course was on "Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization" from Coursera. The second course focused on "Neural Networks and Deep Learning" from the same platform. The issuing institution for both certificates was Coursera itself.

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Timeline

  • Data Scientist, R&D

    August, 2021 - present