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G3BAB/README.md

Geoscience Analyst • Machine Learning Engineer • Former ESA Intern

Get to know my projects:

My Repo My Repo

My areas of interest:

  • 🔬 Spectroscopy – Remote analysis of matter, especially with Raman, XRF, and LIBS.
  • 🌍 Earth observation – Applying analytical workflows to satellite data.
  • 🛰️ Machine Learning – Automating analysis of geoscience data.

Tools & Technologies

Languages: Python, SQL, MATLAB
GIS: QGIS, ArcGIS, GeoPandas
ML: scikit-learn, tensorflow, pytorch, keras

📚 Favorite Books:

Pinned Loading

  1. GIS-Photometry-Portfolio GIS-Photometry-Portfolio Public

    My GIS and planetary photometry portfolio

  2. graviton graviton Public

    Calculates corrections for gravity measurements using ESRI Shapefiles

    Python

  3. spectral-network spectral-network Public

    Generates a convolutional neural network that distinguishes between different minerals based on spectral properties. Designed for Raman spectroscopy, might work for other types of spectroscopic data.

    Python

  4. topographic-anomaly topographic-anomaly Public

    Python

  5. michal107/NasaSpaceAps23 michal107/NasaSpaceAps23 Public

    HTML 1