I work at the intersection of domain problems, data, and technical implementation. My background combines urban planning, geoinformation, data analysis, machine learning, and applied software development.
I started in urban and regional planning and gradually moved deeper into data and technical work. Today, I mainly work on problems where requirements, data structures, system logic, and implementation need to come together.
I am currently completing an M.Sc. in Geoinformation at BHT Berlin.
DINO Fettabscheider GmbH
Designed and implemented a route planning application for recurring maintenance operations. The work included requirements analysis, prioritisation, data modelling, system logic, MVP development, and iteration based on user feedback. The application is now used operationally for maintenance planning.
Interzero Plastics Sorting GmbH
Translate operational KPI requirements into data models and calculation logic in collaboration with management and backend engineering. Build reference implementations in Python and SQL, document business rules, and validate production implementations against reference data.
Büro Tacke e.K.
Coordinated construction-related tasks between contractors, tenants, property management, and project stakeholders. Also worked on GIS-based analyses and small automation workflows.
BHT Berlin
Focus on remote sensing, geospatial data science, and machine learning.
Thesis: Urban-context-aware downscaling of satellite-derived land surface temperature with deep learning: an ablation study for Berlin.
TU Berlin
Thesis: Hidden Champions in Large Cities: A Web-Data-Based Investigation Using Berlin as a Case Study. Grade: 1.2.
Python, SQL, relational databases, data modelling, ETL and data pipelines, data visualisation, machine learning
LLM applications, agentic systems, workflow automation
APIs, Git, Docker, deployment, monitoring and observability
Spatial analysis, remote sensing, geodata integration, GIS workflows
German (native), English (full professional proficiency)