Gabriel Teotonio
About Gabriel Teotonio
Gabriel Teotonio is a Data Engineer at Incognia in Brazil, where he has worked since 2022. He previously held roles as a Data Scientist and Data Analyst Intern at the same company, and has academic qualifications in Statistics and Computer Science.
Work at Incognia
Gabriel Teotonio has been employed at Incognia since 2022, serving as a Data Engineer. His current role follows a three-year tenure at the same company, where he worked as a Data Scientist from 2019 to 2022. Prior to these positions, he gained experience as a Data Analyst Intern at Incognia from 2018 to 2019. His work at Incognia has involved various data-related tasks, contributing to the company's projects in Brazil.
Education and Expertise
Gabriel Teotonio holds a Bachelor's degree in Statistics from Universidade Federal de Pernambuco, which he completed from 2016 to 2020. He furthered his education by obtaining a Master of Science in Computer Science from CIn - Center for Informatics, studying from 2020 to 2022. Additionally, he has a Technical degree in Business Administration and Management from Escola Técnica Estadual José Alencar Gomes da Silva, achieved from 2013 to 2015. His educational background supports his expertise in data engineering and analysis.
Background
Gabriel Teotonio began his academic journey at Taita College, where he completed high school in 2014. He then transitioned to Universidade Federal de Pernambuco, where he engaged in various teaching and research roles. He served as an Undergraduate Teaching Assistant for both the Probability course in 2016 and the Exploratory Data Analysis course in 2017. Additionally, he worked as an Undergraduate Student Researcher from 2017 to 2018, gaining practical experience in data analysis.
Professional Experience
Gabriel Teotonio has accumulated significant professional experience in data roles. His career began with an internship as a Data Analyst at Incognia from 2018 to 2019. He then progressed to a Data Scientist position at the same company, where he worked for three years before becoming a Data Engineer in 2022. His roles have involved applying statistical and computational techniques to analyze data and support decision-making processes.