Fernando Neves
About Fernando Neves
Fernando Neves is a Data Scientist with a Ph.D. in Mechanical Engineering from USP - Universidade de São Paulo. He has experience working at BNP Paribas Cardif and Arkmeds, and currently works at Simporter in the United States.
Work at Simporter
Fernando Neves currently serves as a Data Scientist at Simporter, a position he has held since 2022. His role involves applying data science techniques to enhance business processes and decision-making. He utilizes advanced tools and methodologies to analyze data and generate insights that support the company's objectives.
Previous Experience as Data Scientist
Before joining Simporter, Fernando Neves worked as a Data Scientist at BNP Paribas Cardif from 2019 to 2022 in São Paulo, Brazil. In this role, he focused on data analysis and model development to support insurance operations. He also worked at Arkmeds from 2015 to 2018 in Belo Horizonte, Minas Gerais, where he applied data science techniques to improve healthcare solutions.
Education and Expertise
Fernando Neves holds a Ph.D. in Mechanical Engineering from USP - Universidade de São Paulo, which he completed from 2018 to 2023. He also earned a B.Sc. in Mechanical Engineering from Universidade Federal de Minas Gerais from 2009 to 2014. Additionally, he obtained an M.Sc. in Energy Engineering from Centro Federal de Educação Tecnológica de Minas Gerais in 2018.
Technical Skills and Projects
Fernando Neves has expertise in utilizing Google Cloud and MLFlow to enhance code reproducibility in data science projects. He has implemented survival analysis techniques to improve maintenance strategies in clinical engineering companies. Furthermore, he developed models aimed at expediting insurance claim decisions, optimizing processes for faster outcomes.