GIS · Remote Sensing · Geosciences

Miguel de
Sousa Correia

Geoscientist & Geospatial Data Scientist. Turning complex satellite imagery, terrain data and field observations into reliable, high-stakes solutions.

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40°12′N · 8°25′W · Coimbra, PT
01 — About

Where geology meets code.

I specialise in bridging Earth science and software engineering — using Python, machine learning, and geospatial tools to extract meaning from complex datasets at scale.

From classifying Antarctic vegetation via satellite to automating mineral deposit analysis across Africa, I build workflows that handle tough data challenges with precision.

Currently working as a Geospatial Data Scientist at THAWIMPACT, and recently completed a Postgraduate Course in Space & National Security at the Air Force Academy.

3+ Years of GIS Experience
3 Advanced Degrees & PG Courses
2 Languages
∞ Geospatial Curiosity
02 — Technical Skills
GIS & Remote Sensing
ArcGIS Pro QGIS Sentinel-2 Landsat LiDAR Land Cover Classification Change Detection Worldview-2 Agisoft Metashape
Programming & Data
Python ArcPy GeoPandas Scikit-learn SQL / PostGIS ETL Workflows Spatial Statistics Multispectral Processing
Machine Learning
SVM Random Trees kNN Image Classification Vegetation Mapping Accuracy Assessment
Soft Skills & Domains
Technical Reporting Environmental Consulting Precision Agriculture Defence & Security Research
03 — Projects
001
Automatic Classification of Antarctic Imagery
Master's dissertation. Processed Worldview-2 and Landsat-8 imagery to create vegetation maps across ice-free areas of the Antarctic Peninsula. Implemented and benchmarked SVM, Random Trees, and kNN algorithms for classification accuracy optimisation.
Python SVM Landsat-8 Worldview-2 ML
002
Automated Mineral Deposit Analysis
Built a custom ArcPy script integrated into ArcGIS Pro Notebooks to automate analysis of mineral deposit data across Africa. The pipeline summarises, classifies and ranks features by country and mineral type — identifying regions with the highest exploitation concentration.
ArcPy ArcGIS Pro Python Automation
003
Precision Agriculture & Vineyard Monitoring
Performed vegetative health monitoring for vineyards using NDVI, NDWI, and Water Stress indices derived from Drone and Sentinel-2 data. Processed imagery with Agisoft Metashape and QGIS. Also conducted a geological and environmental impact study for the Pampilhosa Lime Kilns.
NDVI/NDWI Sentinel-2 Drone QGIS Metashape
04 — Experience
OCT 2025 — APR 2026
Geospatial Data Scientist
THAWIMPACT
OCT 2023 — JAN 2025
Freelance Geologist & GIS Specialist
Independent Consultancy
JUL 2022 — SEP 2022
Geospatial Information Intern
Spotlite
05 — Education
Sep 2025 — Jan 2026
Postgraduate — Space in Defence & National Security
Air Force Academy
Sep 2023 — Sep 2025
Master's in Geosciences
Universidade de Coimbra
Oct 2022 — Jul 2023
Master's in Geospatial Information Engineering
Universidade de Coimbra
Sep 2019 — Jul 2022
Bachelor's in Geology
Universidade de Coimbra
06 — Contact

Let's work
together.

Open to exciting projects in geospatial analysis, remote sensing, environmental consulting, or defence-related data science.

✉ miguelcorreia2803@gmail.com in linkedin.com/in/miguelscorreia/ ⌥ github.com/migueldesousanc