Gonçalo Araújo
About Gonçalo Araújo
Gonçalo Araújo is a Data Engineer with extensive experience in data visualization, machine learning, and artificial intelligence. He currently works at Carpe Data, where he focuses on enhancing the insurance life cycle through alternative data solutions.
Work at Carpe Data
Gonçalo Araújo has been employed as a Data Engineer at Carpe Data since 2022. In this role, he focuses on enhancing the insurance life cycle by utilizing alternative data solutions. His work involves leveraging data engineering techniques to improve data processing and analysis, contributing to the company's mission of providing innovative data solutions for the insurance industry.
Previous Experience in Data Engineering
Before joining Carpe Data, Gonçalo worked at Multivision Consulting as a Data Engineer from 2020 to 2022. His responsibilities included designing and implementing data solutions to support business intelligence initiatives. Prior to this, he served as a Data Scientist at PDMFC from 2019 to 2020, where he focused on data analysis and modeling.
Background in Education and Research
Gonçalo Araújo studied Computer Science at Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa (FCT NOVA), where he earned his Master's degree from 2012 to 2018. During his academic career, he also worked as a Machine Learning and NLP Researcher at FCT NOVA from 2017 to 2018, contributing to research projects in the field of artificial intelligence.
Teaching Experience in Artificial Intelligence
In addition to his engineering and research roles, Gonçalo served as an Artificial Intelligence Workshop Instructor at PDMFC for one month in 2019. In this capacity, he taught participants about AI concepts and applications, sharing his expertise in the field.
Development of Data Visualization Tools
Gonçalo's early career included a position at Celfocus in 2016, where he contributed to the development of a data visualization tool for business intelligence. This role involved full-stack development and provided him with valuable experience in creating user-friendly data solutions.