I am a Data Analyst and Software Developer with a BSc in Informatics from the Aristotle University of Thessaloniki (2021–2025), with experience in data analysis, machine learning, and web application development. I have a strong background in Python, SQL, and scikit-learn, as well as knowledge of C, C++, Java, and web technologies.

During my studies, I specialized in Artificial Intelligence and Data & Web Management. My undergraduate thesis focused on the development of a clinical decision support system for the prediction of preterm birth, based on data from 973 pregnant women from Hippokrateio Hospital. The project involved the design and evaluation of predictive models using data analysis techniques and reliability assessment methods.

I worked with the Laboratory of Physical Medicine and Digital Innovation at the Aristotle University of Thessaloniki as part of a research project titled “Debiasing for Trustworthy AI-based Prediction of Preterm Birth”, published in the Health Informatics Journal. In this work, I developed algorithms for medical prediction and contributed to improving model reliability through debiasing techniques. Additionally, I served as a reviewer for a scientific publication on the development and validation of a machine learning model for predicting malnutrition in hospitalized elderly patients with heart failure.

I also have experience in web application development, open-source contributions, and usability evaluation of digital systems, including public services and Thessaloniki Airport (SKG). Furthermore, I developed an educational machine learning scenario titled “Can a Chat Bot save your life?”, which was presented at an international conference on educational innovation.

My research interests include artificial intelligence, data analysis, healthcare applications, and predictive modeling.

I am fluent in English (C2) and French (B2).