Available to hire
I hold a Ph.D. in Computer Vision and Deep Learning, focused on underwater imagery and predictive uncertainty in deep learning models. I love turning data into actionable insights to optimize solutions and bridge academic knowledge with real-world challenges. I am committed to continuous learning, and sharing my knowledge. In my free time I enjoy APP-guided Yoga, Pilates, reading, and exploring other countries.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Language
Portuguese
Fluent
English
Fluent
Spanish; Castilian
Intermediate
Work Experience
Marie Curie Ph.D. Fellow at EIVA
November 30, 2024 - October 15, 2025PhD fellow under the REMARO project focusing on predictive uncertainty of deep learning models for underwater image segmentation, with applications in active learning, sim-to-real transfer, and few-shot learning.
Data Scientist at MJV Technology & Innovation
April 30, 2021 - October 15, 2025Quantitative analysis of acceptance of a new investment product by potential customers of a European bank; analyzed risk profiles using a questionnaire; mentored a training course on unsupervised learning and computer vision.
Lecturer at Federal University of Rio de Janeiro (Macaé campus)
November 30, 2020 - October 15, 2025Held weekly lectures on fundamentals of electrical and electronic circuit theory and supervised laboratory sessions.
Student Researcher at COPPETEC / Federal University of Rio de Janeiro
July 31, 2018 - October 15, 2025Research on the project Monitoring of Defects in Pipelines by Acoustic Emission Parameters and Neural Networks.
Engineer Intern at Petrobras
June 30, 2015 - October 15, 2025Control and automation engineering internship for the submarine equipment and electrical systems team; assisted with offshore data acquisition systems and operations logistics.
Technical Intern at Serviços Marítimos Continental S.A
August 31, 2009 - October 15, 2025Internship in electro-electronic laboratory; assisted with maintenance of electronic parts and equipment used by divers.
Marie Curie Ph.D. Fellow at EIVA
June 1, 2021 - November 1, 2024Ph.D. fellow under the REMARO program focusing on the predictive uncertainty of deep learning models for underwater image segmentation, with applications in active learning, sim-to-real transfer, and few-shot learning.
Lecturer at Federal University of Rio de Janeiro, Macaé
March 1, 2019 - November 1, 2020Held weekly lectures on fundamentals of electrical and electronic circuit theory and supervised laboratory sessions.
Student Researcher at COPPETEC / Federal University of Rio de Janeiro
February 1, 2017 - July 1, 2018Conducted research on monitoring defects in pipelines by acoustic emission parameters and neural networks.
Engineer Intern at Petrobras
July 1, 2014 - June 1, 2015Control and automation engineer intern for submarine equipment and electrical systems; assisted with offshore data acquisition systems.
Education
Ph.D. in Computer Vision and Deep Learning at IT University of Copenhagen
January 1, 2023 - November 30, 2024Ph.D. in Computer Vision and Deep Learning at Aarhus University
June 1, 2021 - December 31, 2022Master’s degree in Artificial Intelligence at Federal University of Rio de Janeiro
June 1, 2016 - June 30, 2018Bachelor’s degree in Control and Automation Engineering at Fluminense Federal Institute
March 1, 2010 - December 31, 2015Electromechanical – Technical Certificate at Fluminense Federal Institute
March 1, 2006 - March 1, 2009Qualifications
Industry Experience
Software & Internet, Education, Professional Services, Computers & Electronics, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Hire a Data Scientist
We have the best data scientist experts on Twine. Hire a data scientist in Aarhus today.