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Python Software Developer & Data and Knowledge Engineer @ Graphwise. Geo-Information Scientist
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Graphwise | GIScience
Data Scientist
June 29, 2026 – Present
master_thesis
March 23, 2025 – May 21, 2025
This repository provides the codes for my master thesis titled "Analyzing the Potential of Geographic Knowledge Graphs for Advancing Spatial Capabilities of RAG-based Large Language Model Applications"
View Projectflickr_and_nlp
September 14, 2024 – September 14, 2024
This repository uses the titel, caption, AI generated descriptions and other textual data associated with Flickr pictures and compares their semantic similarity with the 23 districs of Vienna, trying to associate pictures with their districs.
View Projectrouting_geodatabases
June 26, 2023 – July 4, 2023
This repository shows the SQL queries for conducting AirBNB to POI routing in Vienna. Also it contains a jupyter Notebook for Visualisation.
View Projectair_quality_vienna
June 21, 2023 – June 21, 2023
This Notebook predicts an air quality raster of Vienna based on climate and land use data.
View ProjectPOIS_in-class
June 9, 2023 – November 10, 2023
This is the code for the in-class activity for the course Places of Interest - University of Vienna, Master Cartography and Geoinformation
View ProjectMAPEX
June 5, 2023 – June 5, 2023
This repo is for the field trip MAPEX by the University of Vienna and the University of Ljubljiana Group A.
View Projectmultimedia
February 4, 2023 – November 10, 2023
Collection of codes for creation of materials for a cartography university project
View Projectmapswipe_rapid_damage_assessment
December 22, 2022 – March 6, 2023
This provides a demonstration for the paper "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". To ensure reproducibility the findings of the paper are demonstrated here.
View Projectthesis_code
February 25, 2022 – December 13, 2022
This is the code produced for my Bachelor's Thesis titled "Exploring MapSwipe as a Crowdsourcing Tool for Rapid Damage Assessment: The Case of the 2021 Haiti Earthquake"
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, focusing heavily on GIS and spatial data. While this aligns with specific niches within Data Science, the breadth of exposure to diverse industry problems or team collaboration scenarios is limited. The current role as 'Data Scientist' at 'Graphwise | GIScience' is a good fit, but it's a recent start with no detailed responsibilities provided. The candidate's experience level is listed as 0, which suggests a junior profile despite the advanced nature of some thesis projects. This might indicate a need for mentorship and structured team environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.