PhD Candidate | Geospatial Data Scientist | Environmental Engineer
I specialize in the evaluation and mitigation of territorial risks using Machine Learning and Remote Sensing. My work focuses on bridging the gap between hydro-climatic sciences and advanced data analysis.
Welcome in my personal github profile!
- HECO (Here Comes the Oil): Leading the development for oil spill monitoring tools using Lagrangian dispersion models and Copernicus Marine Services (CMEMS) APIs.
- QGIS riverbanks tools: Developing Python algorithms for hydro-morphological river analysis, currently adopted by the Basin Authority of the Hydrographic District of Sicily.
- Coastal Morphodynamics with ML: Reconstructing spatiotemporal patterns of coastal erosion using observational data and machine learning.
- Multiscale Geostructural System - MGSTools: Leading te development a collection of Python tools for representing geological data on the web
- Languages: Python (Advanced), SQL, Javascript.
- Geospatial: PyQGIS, QGIS Graphical Modeler, geopandas, xarray, cartopy.
- Data Science: scikit-learn, pandas, Jupyter Notebooks.
- Domain: Oceanographic Modelling, River Hydraulics, Environmental Risk Assessment.
- 🌐 Website: gianfrancodp.github.io
- 👨💻 LinkedIn: @gianfrancodipietro
- 📃 Blog: medium.com/@gianfrancodipietro
- 📄 ResearchGate: Gianfranco Di Pietro


