Gonçalo Araújo
About Gonçalo Araújo
Gonçalo Araújo is a Machine Learning Engineer at Carpe Data, where he has worked since 2022, focusing on optimizing data solutions for insurance companies. He has a Master's degree in Computer Science from Faculdade de Ciências e Tecnologia da Universidade NOVA de Lisboa and has held various roles in data engineering and machine learning throughout his career.
Work at Carpe Data
Gonçalo Araújo has been employed at Carpe Data as a Machine Learning Engineer since 2022. In this role, he works in a hybrid model, balancing remote and in-office work. His primary focus is on optimizing data solutions specifically for insurance companies. He has contributed to enhancing the insurance life cycle by leveraging alternative data sources, which plays a crucial role in improving decision-making processes within the industry.
Previous Experience in Data Engineering
Prior to his current position, Gonçalo worked at Multivision Consulting as a Data Engineer from 2020 to 2022. During his time there, he developed skills in data management and analysis, which are essential for creating effective data solutions. His experience also includes a role at PDMFC, where he served as a Machine Learning Engineer from 2019 to 2020, and as an Artificial Intelligence Workshop Instructor for one month in 2019.
Educational Background
Gonçalo Araújo studied at Faculdade de Ciências e Tecnologia da Universidade NOVA de Lisboa, where he earned a Master's degree in Computer Science. His studies spanned from 2012 to 2018, providing him with a strong foundation in computer science principles. Additionally, he worked as a Machine Learning and NLP Researcher at the same institution from 2017 to 2018, where he focused on his MSc dissertation.
Development of Data Visualization Tools
In 2016, Gonçalo worked at Celfocus, where he was involved in the development of a data visualization tool for business intelligence. This role required full-stack development skills, allowing him to gain experience in both front-end and back-end technologies. His work contributed to enhancing the accessibility and usability of data for business decision-making.