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21 followers · 20 following
  • London

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Achievement: StarstruckAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Thomasjkeel/README.md

Hi there, I'm Tom 👋

🌱 About me

I am a Hydrological Data Analyst at the UK Centre of Ecology & Hydrology (UKCEH). I recently completed my PhD at University College London where I studied jet streams and their connection to extreme weather.

  • Since 2024, I have been based at UKCEH
  • Between 2020 and 2024, I studied for a PhD in the Department of Geography at UCL.
  • Between 2019 and 2020, I did a few freelance jobs as a spatial data scientist and GIS software developer.
  • In 2019, I received an MSc in Spatial Data Science and Visualisation from the Centre for Advanced Spatial Analysis (CASA), UCL.
  • In 2018, I received a BSc in Geography and Geocomputation from King's College London.

📌 Interests

  • Spatial 🍏, temporal 🕙 and spatiotemporal 🎐 analysis
  • Communicating data through visualisation 📡
  • Machine vision 🎯
  • Python, clean code practices 🔨 and teaching programming.

📫 Contact

📋 Stats

Tom's GitHub stats

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  1. jsmetrics jsmetrics Public

    A Python package of algorithms and metrics used to characterise and identify jet streams, based on xarray.

    Python 25 7

  2. Paleoclimatology_data_scrape Paleoclimatology_data_scrape Public

    extract paleoclimatological data from NOAA/NCDC to csv file

    Jupyter Notebook 8

  3. jsmetrics-examples jsmetrics-examples Public

    Examples demonstrating the use of jsmetrics to identify and characterise jet streams

    Jupyter Notebook

  4. Ouranosinc/xclim Ouranosinc/xclim Public

    Library of derived climate variables, ie climate indicators, based on xarray.

    Python 337 59

  5. interactive_koppen_climate_map interactive_koppen_climate_map Public

    an interactive koppen climate map for 3 different scales

    HTML 4 1

  6. Trip_Purpose_Classification Trip_Purpose_Classification Public

    Project looking at the classification of trip purpose within a collection of GPS traces collected from a mobile app travel survey

    Jupyter Notebook 7 1