Mattia Tonelli

Mattia Tonelli has a diverse work experience spanning several companies and roles.

Mattia began their career as a Research Assistant at the Università degli Studi di Urbino Carlo Bo in 2014, where they worked on various projects involving data collection, cleansing, merging, and analysis using Excel. Mattia presented their findings to communicate insights.

In 2017, Mattia worked as a Research Assistant at Copenhagen Business School, focusing on studying Asian Indian Immigration in the U.S.

From 2018 to 2019, they worked as a Production Planner at L'Oréal, managing production schedules and ensuring efficient operations.

In 2020, Mattia joined Novo Nordisk as a Data Scientist Intern, where they expanded forecasting tools and built a dashboard with automated data extraction and document creation. Mattia significantly reduced process time through OCR, NLP, SQL data manipulation, and automation.

Mattia then transitioned to the role of Data Scientist at Novo Nordisk, where they continued to leverage multivariate techniques and optimize forecasting processes.

Most recently, Mattia joined Amsterdam Data Collective as a Data Consultant, where they streamlined financial processes for a bank, optimizing code and reducing execution time. Mattia also created useful overviews of the loan portfolio.

Overall, Mattia Tonelli has gained extensive experience in data analysis, process optimization, and project management throughout their career.

Mattia Tonelli has a strong educational background with a focus on business and data science. Mattia obtained a Bachelor's degree in Business Administration (Managerial Curriculum) from Università degli Studi di Urbino Carlo Bo in the years 2009 to 2013. Later, from 2015 to 2017, they pursued a Master's degree in International Business from Copenhagen Business School. In 2018, they obtained a certification in "Programming for Everybody (Getting Started with Python)" from the University of Michigan. Continuing their educational journey, Mattia completed a Master's degree in Data Science from Universitat de Barcelona from 2019 to 2020, further expanding their expertise in the field.