Henrique Gomide, PhD.
About Henrique Gomide, PhD.
Henrique Gomide, PhD, is a Machine Learning Engineer with extensive experience in data science and machine learning applications. He has held various academic and industry positions, contributing to projects that enhance recruitment processes and employee engagement.
Current Role at BairesDev
Henrique Gomide serves as a Machine Learning Engineer at BairesDev, where he has been employed since 2021. He is part of the Data Talent Team, focusing on research and development in machine learning. His role involves applying advanced machine learning techniques to solve complex problems and enhance the company's data-driven solutions.
Previous Experience in Academia
Henrique Gomide has a background in academia, having worked as a Lecturer at UniAcademia - Centro Universitário from 2016 to 2017. He also served as an Adjunct Professor at Universidade Federal de Viçosa from 2018 to 2021. Additionally, he was a Guest Lecturer at Pontifícia Universidade Católica do Rio Grande do Sul for one month in 2022. His academic roles involved teaching and mentoring students in the fields of psychology and data science.
Professional Experience in Data Science
Henrique has extensive experience in data science, having worked in various capacities. He was a Data Consultant at Universidade Federal de São Paulo for four months in 2014 and later served as a Data Scientist at Grupo Case Benefícios e Seguros from 2017 to 2018. He also worked as a Data Science Specialist at Semantix Brasil from 2022 to 2023. His work has included developing statistical models to identify employee turnover risks and enhancing recruitment processes through machine learning systems.
Educational Background
Henrique Gomide holds a PhD in Applied Psychology from Universidade Federal de Juiz de Fora, which he completed from 2014 to 2017. He also earned a Master's degree in Psychology from the same university between 2012 and 2014. Additionally, he completed his Bachelor's degree in Psychology from 2007 to 2011. His education has provided a strong foundation in both psychology and data science.
Research and Development Contributions
Henrique has made significant contributions to research and development in machine learning. Notably, he developed a machine learning system capable of classifying over 1.5 million resumes into multiple categories, which improved the efficiency of the recruitment process. His work has focused on leveraging data science to address real-world challenges in human resources and organizational behavior.