Filipe Sacchetto
About Filipe Sacchetto
Filipe Sacchetto is a Data Scientist at Avenue Code, where he contributes to fostering a data-driven culture. He has extensive experience in data science, having worked in various roles across multiple companies in Brazil, and specializes in natural language processing using Torch architecture.
Current Role at Avenue Code
Filipe Sacchetto serves as a Data Scientist at Avenue Code, a position he has held since 2023. He is actively involved in fostering a data-driven culture within the organization. His role includes providing data science consultancy to clients, which enhances project outcomes. He operates remotely from Belo Horizonte, Minas Gerais, Brazil.
Previous Experience in Data Science
Before joining Avenue Code, Filipe worked at Robbyson as a Senior Data Scientist for six months in 2022 and as a Data Scientist for three years from 2020 to 2023. He also held a position at Mediar Solutions as a Data Scientist for nine months in 2020. His experience includes roles at Exemplaria Solutions and Rock Content, where he worked as a Data Scientist and Data Analyst, respectively.
Educational Background
Filipe studied Computer Science at PUC Minas, where he is currently pursuing a Master's degree from 2023 to 2025. He also completed a postgraduate degree in Data Science and Big Data at Faculdade COTEMIG from 2019 to 2020. His undergraduate studies included a Bachelor's degree in Publicity from PUC Minas, completed between 2013 and 2017.
Research and Academic Involvement
Filipe has a background in academic research, having worked as a Bolsista de Iniciação Científica at Universidade Federal de Minas Gerais from 2016 to 2017. He also participated in research activities at PUC Minas as an Aluno de Iniciação Científica from 2015 to 2016. His academic roles contributed to his expertise in data science.
Specialization in Natural Language Processing
Filipe specializes in natural language processing, utilizing Torch architecture to develop solutions. His expertise in this area supports his work in data science and consultancy, allowing him to address complex data challenges effectively.