Geological Engineering | Applied Geophysics | GIS | Machine Learning
Geoscientist and researcher in training focused on geophysics, GIS, remote sensing, and reproducible geodata workflows. I build tools and experiments that connect field geology, spatial analysis, and computational methods for practical geological and mining applications.
- Applied geophysics and geological interpretation
- GIS and geospatial automation
- Remote sensing and Earth observation
- Geological data processing and curation
- Python tooling for geoscience workflows
- Machine learning applied to geospatial and geological data
Python, QGIS, GDAL, Google Earth Engine, Git, geospatial data processing, remote sensing workflows, and machine learning applied to geological data.
- GeoNormPy: Python tools for geoscience-oriented data processing.
- QGIS-RRIM: GIS workflow work around raster and terrain-style processing in QGIS.
- PyTAB2GIS: Utilities to move tabular data into GIS-friendly workflows.
- Atlas Interactivo de Depósitos Minerales del Perú: Interactive mapping-oriented repository for Peruvian mineral deposits.
- gee-satellite-downloader: Earth observation data download tooling.
- GeoRefMaps: Georeferenced map workflow experiments.
- Building reproducible geoscience tooling
- Expanding GIS, geophysics, and remote sensing workflows
- Developing practical computational tools for geological and mining applications
- Sharing open repositories that support geoscience learning and experimentation
This project is licensed under the GNU GPLv3 and the Dual Licensing agreement described above. See the LICENSE file for more details.