Holds a degree in Civil Engineering from the Federal University of Technology Paraná (2018). Currently pursuing a Bachelor's degree in Data Science at the Institute of Mathematics and Computer Sciences, University of São Paulo (ICMC-USP). Involved in undergraduate research related to leak detection using Machine Learning and Artificial Intelligence techniques, without sharing private data. Completed a research internship at the University of Porto (Portugal), where he focused on research in Concept Drift detection in the context of Federated Learning. (Source: Lattes Curriculum)
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UN projections indicate population growth alongside increasing urban concentration, factors that stress city infrastructure. Specifically regarding sanitation, Brazil experiences 37% losses in urban water distribution, highlighting the need to modernize this system to integrate it into the context of smart cities. Additionally, it is essential to consider the need to safeguard data privac…
A holistic perspective is vital in the search for robust Artificial Intelligence (AI) solutions. In the context of Smart Cities, AI implementations must adapt to variations in urban scenarios. Real consumption data from the city of São Paulo, obtained through a partnership with Sabesp, reveals discrepancies between the company's consumption estimation model and actual data. Exploratory an…
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CV Lattes
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