Mafalda Oliveira
@mafaldaoliveira
Data analytics MSc with machine learning and biomedical engineering expertise.
What I'm looking for
I am a Data Analytics MSc student with hands-on experience building and deploying machine learning solutions, particularly in NLP, time series forecasting, and computer vision. I combine strong technical skills in Python, SQL and deep learning with a background in biomedical engineering and R&D project management.
In industry I have managed multiple R&D digital health projects end-to-end, coordinating engineering, clinical teams and stakeholders to deliver and activate solutions across client sites. In research I developed 3D medical image segmentation models (U-Net) for PET/CT data, built automated DICOM preprocessing pipelines, and contributed to a collaborative scientific abstract.
I am passionate about turning data into practical, production-ready solutions and have experience across the full ML lifecycle — from data engineering and feature work to model optimization and deployment — while applying Agile project management to ensure impact and adoption.
Experience
Work history, roles, and key accomplishments
R&D Project Manager
Promptly Health
Nov 2022 - Present (3 years)
Managed 5+ R&D digital health projects, leading cross-functional teams through full lifecycle and implementing healthcare digital solutions across multiple client sites to drive product adoption and delivery.
Research Intern
Champalimaud Foundation
Feb 2022 - Jul 2022 (5 months)
Developed 3D medical image segmentation models (U-Net) for [18F]FDG PET/CT, built automated DICOM preprocessing pipelines in Python, and contributed to a scientific abstract; master's dissertation graded 19/20.
Education
Degrees, certifications, and relevant coursework
School of Economics and Management, University of Porto
Master of Science, Data Analytics
2025 -
MSc in Data Analytics coursework covering advanced statistics, machine learning, big data analytics, optimization, data mining, and business intelligence; enrolled from September 2025.
Universidade Católica Portuguesa, Porto
Master of Science; Bachelor of Science, Biomedical Engineering / Bioengineering
2017 - 2023
Grade: 17/20
Completed MSc in Biomedical Engineering and BSc in Bioengineering with high marks and merit scholarships, graduating in February 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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