Bernardo Aflalo
About Bernardo Aflalo
Bernardo Aflalo is a professor with extensive experience in data science and artificial intelligence. He has held various roles in academia and industry, including positions at XP Inc., Embraer, and Mercado Livre.
Work at FGV - Fundação Getulio Vargas
Bernardo Aflalo has been a professor at Fundação Getulio Vargas since 2020. His role involves teaching and contributing to the academic community in São Paulo, Brazil. FGV is known for its focus on education in business and public administration, making it a prominent institution in Brazil.
Current Positions at Mercado Livre and ASN.Rocks
Since 2021, Bernardo Aflalo has held positions at both Mercado Livre and ASN.Rocks. At Mercado Livre, he works in Measurement and Experimentation, focusing on data analytics and performance metrics. Concurrently, he serves as a professor at ASN.Rocks, where he shares his expertise in data science and machine learning.
Education and Expertise
Bernardo Aflalo holds a Master's degree in Computational and Applied Mathematics from Instituto Tecnológico de Aeronáutica, completed between 2006 and 2008. He also pursued specialization in Financial Investment Administration at Ibmec from 2019 to 2020. Additionally, he studied Organizational Leadership at ISE Business School in 2019. His educational background supports his expertise in data science, machine learning, and the development of scalable data products.
Professional Experience at XP Inc.
Bernardo Aflalo worked at XP Inc. in various roles from 2017 to 2021. He served as a Data Scientist for three months in 2017, then progressed to Head of Data Science from 2018 to 2020, and later became Partner and Head of Trader AI for one year. His tenure at XP Inc. involved significant contributions to data-driven decision-making and AI applications.
Background in Engineering and Data Science
Before his roles in data science, Bernardo Aflalo worked at Embraer as a Technological Development Engineer from 2006 to 2011 and later as a Data Scientist and Business Development professional from 2011 to 2016. His engineering background, combined with over 12 years of experience in data and machine learning, has equipped him with a strong foundation in both technical and analytical skills.