Catarina Pires

- Designed Typeform questionnaire about pregnancy and postpartum experiences during COVID-19 pandemic - Data collection in Germany and data processing, which included merging German and English versions, analyzing open-ended answers, data cleaning, and data visualization - Performing descriptive statistics, hypothesis testing, and unsupervised learning to compare COVID-19 pandemic data with pre-pandemic data; - Developing supervised learning models for early prediction of Gestational Diabetes in pregnancy

- Analysed data in Google Cloud Platform - Wrote SQL queries and performed tests in BigQuery - Reported data quality

- Developed machine learning models for different datasets: inertial signals for Human Activity Recognition, Raman Spectroscopy for bacteria detection, and CTG for detection of fetal problems - Developed uncertainty measures based on probability distributions to increase confidence in results - Used unsupervised learning and PCA to find relations between health indicators and COVID-19 pandemic - Published research paper with methodology and findings of thesis work and contributed to scientific publications