I am currently a Master's student in Civil Engineering Water, Energy, and Environmental Resources (starting in 2025), with a focus on the application of semi-distributed sediment modeling using the MGB-SED model in a large watershed. My work also involves the use of Artificial Intelligence (AI) for forecasting and pattern analysis in sediment transport. I have a strong interest and affinity for hydrological modeling, Geographic Information Systems (GIS), programming, and AI applications in water resources.I have previously worked with hydrological modeling and hydrometric monitoring.I hold a Bachelor's degree in Environmental Engineering from São Paulo State University (UNESP/Rio Claro), where I participated in relevant extracurricular activities, such as the Junior Enterprise Movement (MEJ) through the junior company EJEAmb, holding positions in the Human Resources area and the Vice-Presidency. I developed skills and knowledge in Excel and VBA for data automation and management.I also carried out two scientific initiation projects with PIBIC scholarships, focused on biogas production in anaerobic reactors, which enhanced my experience with laboratory research and experimentation. (Source: Lattes Curriculum)
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Recent reports, such as the IPCC AR6 (2021), highlight the worsening climate impacts, including extreme events like floods and droughts. In Brazil, these effects are observed on large river basins, such as droughts in the Amazon River and floods in Rio Grande do Sul in 2023 and 2024. Another problem during flood events is soil erosion, sediment transport and deposition. As a solution, dis…
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