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Focusing
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Focusing
24 followers · 31 following
  • Instituto Nacional de Pesquisas Espaciais (INPE)
  • São Paulo - Brazil
  • LinkedIn in/sandro-sena

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sdesena/README.md

Hello, I'm a MSc candidate in Applied Computing at INPE, with a MBA in Data Science and a BSc in Environmental Management from the University of São Paulo. Here you'll find some of my projects related to:

  • Data Engineering
    Design and maintain scalable pipelines and spatial databases (PostgreSQL/PostGIS, GDAL, cloud workflows) for geospatial data processing.

  • Data Science
    Apply statistical analysis, time series, machine learning and deep learning to remote sensing and environmental datasets.

  • Earth Observation
    Work with multispectral and SAR data using Python, Google Earth Engine and Geographic Information Systems (GIS).

Collaboration

I’m always open to collaboration. Feel free to fork repositories, open issues, submit pull requests, or reach out via social media for partnerships or feedback.

 

   

Python  Jupyter JavaScript  Postgresql  R  Git  Qgis

Computador iuriCode

Let's connect:

  

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  1. above-ground-biomass-machine-learning above-ground-biomass-machine-learning Public

    End-to-end geospatial data science workflow for predicting Above Ground Biomass density (t/ha)

    Jupyter Notebook 8

  2. Improve-LULC-Classification-GEE Improve-LULC-Classification-GEE Public

    Learn how to avoid pitfalls and enhance your Land Use and Land Cover classification results with a comprehensive workflow

    JavaScript 1 3

  3. geodatabase-for-deforestation-analysis geodatabase-for-deforestation-analysis Public

    Construção de um banco de dados geográficos (PostgreSQL + PostGIS) para análise do desmatamento no Brasil com dados do PRODES e DETER em conjunto com dados da malha fundiária do Atlas Agropecuário …

    Python 2

  4. geo-web-app-agrometeorology geo-web-app-agrometeorology Public

    Geo Web App para monitoramento agrometeorológico, com análises de precipitação, temperatura, evapotranspiração e balanço hídrico para qualquer município do Brasil.

    Python