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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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ciskoh/README.md

Hi there 👋

you are in the repository of dr Matteo Jucker Riva

I am a Geography PhD & data scientist with a global and multidisciplinary background. I strive to make the world more sustainable and computer models more useful. You can find me on linkedin and researchgate . Sometimes I write blogposts on medium

Here are my technical skills:

  • Geodata management and processing: QGIS, ArcGIS, GeoServer, PostGIS
  • Satellite Image analysis: Google Earth Engine, GRASS, Envi
  • Programming: Python, R, JavaScript
  • Data analysis & visualisation: Numpy, Pandas, Plotly, Dash
  • Machine learning & deep learning: Keras, TensorFlow, PyTorch

My favorite GIS & remote sensing projects:

My favorite business analytics projects:

My favorite computer vision projects:

My favorite NLP projects:

  • VirtualHerbarium a web scraper and automatic summarizer to retrieve information about plants (ongoing)

Things I do for fun:

Pinned Loading

  1. climate_hackathon climate_hackathon Public

    our entry for the climate_hackathon_2021 challenge. The main repo might be moved to azure in the next day

    Python 5 1

  2. LandProductivity LandProductivity Public

    JavaScript 1

  3. mamma-il-covid mamma-il-covid Public

    simple viz of covid data with comparison between switzerland and Lombardia (ITALY)

    Python 1

  4. qu qu Public

    Forked from aarpon/qu

    Qu is an attempt to make the full deep learning workflow more interactive by providing a user interface (implemented as napari widget) that abstracts all steps from ground truth generation and cura…

    Jupyter Notebook 1

  5. herbaria--plant-labeling herbaria--plant-labeling Public

    Forked from eth-library-lab/herbaria--plant-labeling

    Automatic classification/segmentation of plant structures to study flowering and fruiting cycles

    Jupyter Notebook

  6. seo_tool seo_tool Public

    Program to evaluate how well a question is answered on the first page of google

    Python