Mauricio Onoda
About Mauricio Onoda
Mauricio Onoda is a professor and data science professional with extensive experience in various roles across multiple companies in Brazil. He has held positions at institutions such as Sam's Club, MadeiraMadeira, and UFRJ, and has a strong academic background in electronic engineering and machine learning.
Work at FGV - Fundação Getulio Vargas
Mauricio Onoda has been serving as a Professor at FGV since 2019. His role involves teaching and contributing to academic research in the field of data science and analytics. FGV is a prominent institution in Brazil known for its focus on social sciences, business, and public administration.
Education and Expertise
Mauricio Onoda holds multiple degrees in engineering and computer science. He earned a Bachelor's degree in Electronic Engineering from Universidade Tecnológica Federal do Paraná. He also completed a Tecnólogo in Computing at Instituto Tecnológico de Aeronáutica. Onoda further advanced his education with a Master's and Doctorate in Machine Learning from Universidade Federal do Rio de Janeiro.
Background in Data Science and Analytics
Onoda has extensive experience in data science and analytics across various industries. He worked as a Data Science Manager at MadeiraMadeira, where he coordinated product analytics initiatives. His previous roles include positions at OLX Brasil, Globosat, and Firjan, where he focused on AI and machine learning applications.
Professional Experience in Data Engineering
Mauricio Onoda has structured data engineering and analytics areas in several organizations. At Armac, he served as Lead Data Scientist and was responsible for developing cloud-based Big Data projects. His experience spans over three decades, including roles at Lloyds Bank and MarketData Global Consulting.
Research and Development Contributions
Onoda has contributed to research and development in artificial intelligence applications for the industry. He worked as a researcher at Instituto SENAI de Inovação em Sistemas Virtuais de Produção, focusing on innovative solutions in data science. His academic and professional work emphasizes the intersection of technology and practical applications.