Fernanda Bruno
About Fernanda Bruno
Fernanda Bruno is a Professora de MBA at Fundação Getulio Vargas and an Assessora de Superintendência at DATAPREV, both roles she has held since 2019 in Rio de Janeiro, Brazil. She has extensive experience in data science, big data, and business intelligence, and actively participates as a speaker at related events.
Work at FGV - Fundação Getulio Vargas
Fernanda Bruno has been serving as a Professora de MBA at Fundação Getulio Vargas since 2019. In this role, she contributes to the academic development of students in the MBA program, focusing on data science and its applications. Prior to her current position, she worked at Fundação Getulio Vargas as a Professora de Extensão from 2016 to 2018, where she engaged with students in extension courses.
Current Role at DATAPREV
Since 2019, Fernanda Bruno has held the position of Assessora de Superintendência at DATAPREV in Rio de Janeiro. In this capacity, she focuses on enhancing data culture and its technological aspects within the organization. Her previous roles at DATAPREV include Assessora de Departamento from 2016 to 2019 and Arquiteta de Negócio in 2015. She has also served as Líder de Equipe Substituta and Responsável Técnico de Big Data at the same organization.
Education and Expertise
Fernanda Bruno holds a Mestrado in Sistemas de Informação from Universidade Federal do Rio de Janeiro, which she completed from 2010 to 2013. She also earned a Bacharel in Ciência da Computação from the same university between 2004 and 2010. Additionally, she completed a specialization in Ciência de Dados e Big Data at Pontifícia Universidade Católica de Minas Gerais from 2018 to 2019. Her educational background supports her expertise in data science and machine learning.
Professional Experience in Data Science
Fernanda Bruno has extensive experience in data science and business intelligence. She worked as an Analista de Business Intelligence at Submarino from 2012 to 2013 and held various roles at Accenture, including Estagiário de Business Intelligence and Analista Junior de Business Intelligence from 2008 to 2010. Her work involves automating the machine learning pipeline (MLOps) to facilitate data scientists in model access and deployment.
Speaking Engagements and Community Involvement
Fernanda actively participates as a speaker in meetups and events focused on data science and big data. Her involvement in these events highlights her commitment to sharing knowledge and fostering discussions within the data science community.