Pedro Catarro holds a BSc in Applied Mathematics for Economics and Management from the University of Algarve and an MSc in Data Science and Advanced Analytics, specializing in Business Analytics, from NOVA IMS. His research, supervised by Professor Paulo Vitor de Campos Souza, focuses on interpretable machine learning and neuro-fuzzy systems applied to electricity demand forecasting. He presented a paper at IEEE WCCI 2026 in Maastricht and currently has three research papers under review in Elsevier journals. He has hands-on experience with Python, SQL, Power BI, and process mining, as well as communicating technical findings in academic and professional settings, including at EDP Comercial. Interested in pursuing an academic career and a PhD, he aims to contribute to teaching and student development in areas such as machine learning, time-series forecasting, programming, databases, and data visualization.