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Alexandre Petrachini has a varied work experience in the fields of machine learning, data engineering, data science, and research. In 2022, they began working as a Machine Learning Engineer at Gaiascope, Inc. From 2020 to present, they have been working at Anheuser-Busch InBev as a Data Engineer, where they have built machine learning pipelines and driven the organization's marketing strategy to be more data-centric. In 2020, they also worked as an Undergraduate Research Assistant at Universidade Estadual de Campinas, where they developed a deep learning model to detect license plates on vehicles. In 2019, they worked as a Junior Data Scientist at Macfor Marketing, where they handled and engineered multiple data warehouses and created multiple ETL pipelines. In 2018, they worked as an Undergraduate Research Assistant at CNPq, where they worked on a deep learning problem for monitoring and controlling pest count in farms.

Alexandre Petrachini is currently studying Computer Science at the Universidade Estadual de Campinas from 2018 to 2023. Prior to this, they obtained a Technician degree in Informatics from the ETEC - Escola Técnica Estadual de São Paulo from 2014 to 2017. Alexandre has also obtained several certifications, including Become a Data Engineer: Mastering the Concepts from LinkedIn in November 2020, Kaggle Intermediate Machine Learning and Kaggle Intro to Machine Learning from Kaggle in January 2020, Excel 2019: Gestão e Análise de Dados from LinkedIn in August 2019, Fundamentos da Ciência de Dados from LinkedIn in August 2019, Introduction to Data Structures & Algorithms in Java from LinkedIn in August 2019, and SQL Essential Training from LinkedIn in August 2019.