Luan Brasil
About Luan Brasil
Luan Brasil is a Senior Data Scientist at Thomson Reuters, where he has worked remotely since 2023. With over five years of experience in data science, he specializes in developing end-to-end data products and emphasizes clear communication and high-quality standards in his work.
Work at Thomson Reuters
Luan Brasil has been employed at Thomson Reuters as a Senior Data Scientist since 2023. In this role, he operates remotely and focuses on developing data science products that align with business needs. His responsibilities include overseeing the entire data science product lifecycle, from business understanding to model deployment.
Previous Experience in Data Science
Prior to his current position, Luan Brasil held various roles in data science. He worked as a Senior Data Scientist Consultant at Dasa for three months in 2023. He also served as a Data Scientist at Grupo JCPM from 2022 to 2023. His earlier positions include working as a Data Scientist at Mobit Brasil Ltda and as an Innovation Agent at RAITec UFC.
Education and Expertise
Luan Brasil earned a Bachelor's degree in Computer Engineering from the Federal University of Ceara, completing his studies from 2017 to 2021. He has over five years of hands-on experience in machine learning and data analytics, specializing in developing end-to-end data products for various industries, including e-commerce and IT.
Background in Data Science Internships
Luan Brasil's early career included several internships in data science. He worked at Delfos Intelligent Maintenance as a Data Science Intern in 2019 and at Polibras Software from 2018 to 2019. These roles provided him with foundational experience in data preparation and model development.
Focus on Communication and Innovation
Luan Brasil emphasizes the importance of clear communication and a people-focused approach in his professional projects. He advocates for high-quality standards and continuous innovation within the field of data science, ensuring that the products he develops meet industry demands.