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ey-data-challenge

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matbdev / waterscript-ey-data-science-challenge

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A multi-modal machine learning solution to forecast water quality parameters in South Africa rivers using Landsat satellite imagery (STAC API), TerraClimate meteorological data, and Snowflake (Snowpark ML). Developed for the EY AI & Data Challenge 2026.

python machine-learning scikit-learn geospatial jupyter-notebook gis snowflake landsat data-engineering water-quality satellite-imagery environmental-science data-for-good optuna ey-data-challenge stac-api snowpark terraclimate planetary-computer
  • Updated Jun 19, 2026
  • Jupyter Notebook

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