Margarida Campos
Verified Expert in Engineering
Machine Learning Developer
Lisbon, Portugal
Toptal member since January 6, 2022
Margarida is a data scientist and machine learning developer with 8+ years of experience. At OutSystems, she won the Top Performer Award of 2020. She has been a data science teacher since 2019, having taught hundreds of students in machine learning and deep learning. Margarida has also worked as a researcher, winning an international competition for developing an original QA model in 2021. She currently works as a freelancer.
Portfolio
Experience
- R - 6 years
- Machine Learning - 4 years
- Data Analysis - 4 years
- Python - 4 years
- Data Science - 4 years
- Data Visualization - 4 years
- Deep Learning - 3 years
- Generative Pre-trained Transformers (GPT) - 2 years
Work Experience
Data Scientist
ComplyAdvantage
- Developed an LLM-based agentic profile remediation system with a required 99,9% recall.
- Built streamlit apps to monitor performance and facilitate prompt iterations.
- Implemented uncertainty quantification frameworks paired with LLM-as-a-judge to evaluate agent outputs.
PhD Research Fellow
Instituto Superior Técnico - University of Lisbon
- Worked on a thesis entitled "Uncertainty Quantification of Language Models for Medical Applications."
- Studied the use of conformal prediction and other statistical methods to provide confidence intervals for language models' certainty on their outputs.
- Tested proposed techniques with ChatGPT and other LLMs on biomedical and medical datasets.
Invited Teacher
Instituto Superior Técnico - University of Lisbon
- Taught Master's students in Information and Communication Theory and Deep Learning courses.
- Developed Python notebooks to add a practical and hands-on component to courses.
- Created quizzes to monitor students' progress in a pedagogical manner.
Lead Teacher of Data Science
Le Wagon
- Taught ten batches of students in data analysis, decision science, machine learning, and deep learning; 100% of students' feedback was positive.
- Guided the implementation of dozens of students' data science projects from beginning to end, including facial recognition using CNNs, news classification, and stock prediction using RNNs.
- Represented Le Wagon in conference Future.Works Tech Conference. Feedback for the speaker given by over 50 people was 9.5/10.
Researcher
LASIGE
- Developed a model for biomedical question answering using deep learning to participate in the BioASQ challenge. The model won one of the test batches.
- Published a paper entitled "Post-processing BioBERT and Using Voting Methods for Biomedical Question Answering," presented at the CLEF 2021 conference.
- Wrote and defended a thesis detailing the development of the QA model and its novel methods, graded 19/20.
Data Scientist
OutSystems
- Developed and oversaw the implementation of a lead scoring model based on demographic and website behavior data.
- Created a spam detection model for forum posts that saved hundreds of hours of manual labeling.
- Designed and implemented over ten Shiny dashboards for metric monitoring for sales, finance, and marketing departments. The dashboards included forecasts for revenue, sales, and conversion rates.
Project History
Biomedical Question Answering System
https://github.com/lasigeBioTM/BioASQ9BThe model used transfer learning on different datasets and novel post-processing techniques, and it was implemented using PyTorch.
Education
Ph.D. Degree in Artificial Intelligence
Instituto Superior Técnico, University of Lisbon - Lisbon, Portugal
Master's Degree in Data Science and Engineering
Instituto Superior Técnico, University of Lisbon - Lisbon, Portugal
Bachelor's Degree in Applied Mathematics and Computation
Instituto Superior Técnico, University of Lisbon - Lisbon, Portugal
Certifications
Neural Networks and Deep Learning
Coursera
Skills
Libraries/APIs
Scikit-learn, Pandas, PyTorch, TensorFlow
Tools
GitHub, ChatGPT, Microsoft Power BI, Claude Code
Languages
Python, R, SQL, Snowflake, JavaScript, HTML5, CSS
Platforms
Docker
Other
Statistics, Probability Theory, Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Visualization, Data Science, Data Analysis, English, Statistical Modeling, Statistical Analysis, Statistical Data Analysis, Analytics, Generative Pre-trained Transformers (GPT), Predictive Modeling, Programming, Data Modeling, Time Series Analysis, Artificial Intelligence (AI), Scraping, Web Scraping, APIs, Customer Segmentation, Chatbot Conversation Design, OpenAI GPT-4 API, Chatbots, Algorithms, Reinforcement Learning, Bayesian Statistics, Information Theory, Higher Education, Education, RAG Systems, Large Language Models (LLMs), Agentic AI, Dashboards, Dashboard Design
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