CV
Basics
| Name | Viet Nguyen |
| Label | GIS and Remote Sensing Developer |
| duc.nguyen@uni-greifswald.de | |
| Summary | a GIS and Remote Sensing Developer with experience working in GIS, Remote Sensing, geospatial analysis, and web development. Skills on Python, R, QGIS, ArcGIS, FORCE, Agisoft Metashape, React, HTML, CSS, JavaScript, SQL, PostgreSQL, Git, GitHub, Linux, Docker. |
Work
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2025.06 - present Greifswald, Germany
GIS Developer
Institute of Geography and Geology, University of Greifswald
- Developing a WebGIS for tourism: http://in-terris-gryphi.de/ (in development)
- Preprocessed scanned maps with python (reprojection, format conversion, mosaic with rioxarray, GDAL) and QGIS (georeference)
- Created basemap from OpenStreetMap vector data with scale-dependent styling in QGIS, exported as XYZ tile pyramids and host the resulting basemaps as web services
- Managed geospatial data in ArcGIS Online and integrated web services into the map frontend via ArcGIS APIs
- Built frontend with WordPress, developed on Linux with Git and Docker
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2023.11 - 2025.05 Greifswald, Germany
GIS and Remote Sensing analyst
Institute of Geography and Geology, University of Greifswald
- Implemented Random Forest algorithm using Python with Landsat 8, Sentinel-1, and Sentinel-2 data, using multi-temporal metrics (NDVI, NRPB, VV, VH, etc.). Achieved 91% overall accuracy for crop type classification in Central Asia
- Maintained a large-scale satellite datacube using FORCE
- Analyzed spatial vector and raster data with Python (GeoPandas, Rioxarray, NumPy, GDAL) and LiDAR data with R (sf, terra, lidR, rgdal)
- Performed drone-based data acquisition (spectral, RGB, LiDAR data)
- Processed drone data with Agisoft Metashape, DJI Terra
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2021.10 - 2023.05 Eberswalde, Germany
Intern
Thünen Institute
Large-scale forest inventory based on ALS point cloud
- Developed methods to derive individual tree attributes from ALS point clouds using R (lidR, rLiDAR, TreeLS). Achieved 78% tree detection rate in 4584 km2 of heterogeneous forest in North Rhine-Westphalia state, Germany
- Evaluated statistically models for tree attributes using R, attaining 0.86 R2 for tree height estimates and 0.74 R2 for DBH estimates
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2021.01 - 2023.08 Eberswalde, Germany
GIS and Remote Sensing technician
Centre for Econics and Ecosystem Management, Eberswalde University
- Collected and digitized on-screen ground truth data for land cover classification using QGIS and Google Earth
- Produced maps, figures and statistics with R (dplyr, ggplot2) and QGIS
Education
Certificates
| Automating GIS Processes | ||
| University of Helsinki | 12/2023 |
| Introduction to R | ||
| DataCamp | 12/2021 |
| Web development foundations course | ||
| The Odin Project | 11/2025 |
| Geo-Python | ||
| University of Helsinki | 10/2023 |
| Using Python to Access Web Data | ||
| University of Michigan | 10/2021 |
| Python Data Structures | ||
| University of Michigan | 09/2021 |
| Getting started with Python | ||
| University of Michigan | 09/2021 |
| An Introduction to Web GIS | ||
| Louisiana State University | 08/2024 |
| Elements of AI | ||
| University of Helsinki | 07/2023 |
| Web development | ||
| TechLabs | 04/2026 |
| Structure-from-Motion photogrammetry | ||
| The University Centre in Svalbard | 03/2024 |
| Introduction to Hyperspectral Remote Sensing | ||
| EO College | 01/2024 |
| EnMAP data access and image preprocessing techniques | ||
| EO College | 01/2024 |
Skills
| Frontend | |
| React | |
| JavaScript | |
| HTML | |
| CSS |
| WebGIS | |
| OpenLayers | |
| Leaflet | |
| ArcGIS API |
| Database | |
| SQL | |
| PostgreSQL | |
| PostGIS |
| Programming | |
| Python | |
| R |
| GIS | |
| QGIS | |
| ArcGIS Pro | |
| ArcGIS Online |
| Remote sensing | |
| FORCE | |
| Agisoft Metashape |
| Dev tools | |
| Linux | |
| Git | |
| GitHub | |
| Docker |
Languages
| German | |
| B1 |
| English | |
| C1 |
| Vietnamese | |
| Native |