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URM86/README.md
Prêmio CNPq

Hi there, I'm Ulises Rodrigo Magdalena 🌎

I'm a Geographer & Data Scientist, with a DSc. in Geography from the Universidade de Campinas (2019-2023) and a Postdoc from the Programa Emergencial de Prevenção e Enfrentamento de Desastres Relacionados a Emergências Climáticas, Eventos Extremos, Acidentes Ambientais (PEPEEC) at the Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES (2024-2025).


🧭 What I'm Up To:

I am currently Postdoc Researcher at the Laboratório Espaço Público e Direito à Cidade (LabCidade) of the Universidade de São Paulo.

  • 🔬 I have been working with data science to transform raw disaster reports into geospatial data, developing automated extract, transform, load (ETL) processes in Python and R, along with interactive dataviz.

  • 🧠 Since 2018, I’ve been gradually transitioning into Data Science, learning and applying machine learning and text mining techniques using R and Python.

  • 💼 I have worked—and still work—in academia (teaching and conducting research)

  • 📝 Academic Profiles: Currículo Lattes, ORCID, Google Acadêmico


📌 About Me:

🔍 During my undergraduate studies, I focused on Cartography and Remote Sensing. In my Master's degree, I focused on Hydrology and Numerical Modeling (both Atmospheric and Hydrological).

🎯 In my free time, I love reading books on Brazilian mythology and history, learning about financial markets, playing the ukulele, training in Muay Thai, playing video games, going for walks, and listening to classical music.


🛠️ Languages and Tools:

R  Python  Fortran 

ArcGIS  QGIS  SAGA GIS  Marxan  InVEST Model 

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    R

  3. Geocoding Geocoding Public

    Geocodificação

    JavaScript