Summary
Mauricio Cordeiro is a water resources specialist and geospatial data scientist with a PhD in Remote Sensing and over a decade of experience applying machine and deep learning to environmental and hydrological problems. Based in Florianópolis, Brazil, he combines 15+ years inside Brazil’s National Water and Sanitation Agency (ANA) managing IT, information systems and national water data products with research work at GET/UPS and CNES on large satellite-derived geospatial databases. He develops open-source Python tools for satellite data science and deep learning, and publishes accessible technical writing and tutorials to bridge research and operational practice. Comfortable across infrastructure, software delivery and scientific programming, he focuses on using remote sensing to mitigate hydrological critical events and make national-scale water information operable. An engineer by training, he brings both systems-level IT leadership and hands-on algorithm development to water science problems.
9 years of coding experience
Doctor of Philosophy - PhD, Remote Sensing and Geosciences, Doctor of Philosophy - PhD, Remote Sensing and Geosciences at Université Paul Sabatier Toulouse III
Engineer's degree, Civil Engineering, Engineer's degree, Civil Engineering at Instituto Militar de Engenharia
Graduate Certificate Program, IT Management, Graduate Certificate Program, IT Management at Universidade de Brasília