StemAtlas
Political compass derived from 25,000+ Dutch parliamentary votes using SVD embeddings and fused similarity search.
Sven Geboers
Senior Data Scientist
Building data systems for a more sustainable world
Get in touch
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About
Medior/Senior Data Scientist (MSc Systems & Control, TU Delft) specialising in mathematical, statistical and algorithmic approaches to real-world problems. I like to design and productionise models and pipelines that scale — whether the domain is transport, energy networks, disease modelling, quantum error correction, or other complex systems.
I enjoy taking noisy, high-cardinality data and turning it into robust models and interpretable decision tools: model design, uncertainty quantification, efficient vectorised pipelines, and reproducible deployment. Always open to new challenges and puzzles to solve.
Stack
Data & ML
Python
Pandas
DuckDB
Ibis
Scikit-learn
Parquet
Databricks
LLMs
Agentic AI
GeoParquet
Infrastructure
Linux
Docker
Git
Kafka
Drone CI
Geospatial
QGIS
GTFS
OpenStreetMap
Valhalla
Learning
RAG
Projects
30km/h Speed Limit Study
GPS → map-matching → policy recommendation that led to measurable cost savings and operational improvements.
National PT Data Pipeline
Process 350MB+/day of KV6 data, optimized Parquet for scale.
Population Accessibility Analysis
Identified accessibility patterns for hospitals, GPs, supermarkets, and schools across the full synthetic population of the Netherlands — supporting national infrastructure policy decisions.
RAG Application
Knowledge management system to support monitoring and evaluation workflows.
Contact
Email: geboers.sven@gmail.com
Phone: +31 657 95 90 96 — The Hague area, Netherlands