Pietro Schiavetta

Market Solutions Engineer at Vedrai

Pietro Schiavetta has a diverse work experience starting in 2015 as an Accounting Intern at Effedati S.a.s. During this time, they gained skills in accounting and business taxation while recording invoices, preparing financial reports, and assisting with account reconciliation and customer management.

In 2019, Pietro worked as a Data Transport Analyst at Sogemar S.p.a., where they analyzed and collected logistic data to create efficient scheduling for the delivery process. Pietro also aimed to reduce time and costs by creating delivery patterns.

From 2020 onwards, Pietro joined IRI as a Market Data Analyst. In this role, they were responsible for creating and presenting ad hoc market reports and providing consulting services to clients. Pietro retrieved market and media campaign data to identify valuable insights and develop growth strategies in collaboration with clients' marketing departments.

Most recently, Pietro joined Vedrai as a Market Analyst in 2022. Additional details about this role were not provided.

Pietro Schiavetta obtained a Bachelor's degree in Business Communication and Public Relation from IULM University, graduating in 2016. Pietro then pursued a Master's degree in Economics, Marketing, and Global Markets at the Università degli Studi di Milano-Bicocca, completing their studies in 2019.

In addition to their formal education, Pietro also obtained several certifications. In 2016, they achieved the ECDL FULL STANDARD certification from AICA - Associazione Italiana per l'Informatica e il Calcolo Automatico, showcasing their proficiency in computer skills. Pietro also obtained an IT SECURITY certification from the same institution.

Furthermore, Pietro has pursued various online courses to enhance their knowledge and skills. In 2018, they completed the "E4Job - Digital Culture for the Job" course offered by .Bestr. Subsequently, in 2019, they obtained certifications in data analysis with Python, Python for Data Science and AI, R Programming, and databases and SQL for Data Science. These courses were provided by IBM through Coursera.

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