Sven Geboers

Senior Data Scientist

Building data systems for a more sustainable world

Get in touch
Portrait photo: Sven Geboers

Impact

Significant
measurable policy impact from transport modelling
350MB+/day
national public transport data processed
Netherlands-wide
population accessibility analysis

About

Portrait photo: Sven Geboers

Medior/Senior Data Scientist (MSc Systems & Control, TU Delft) specialising in mathematical, statistical and algorithmic approaches to real-world problems. I 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.

Policy · Map-matching · Valhalla

National PT Data Pipeline

Process 350MB+/day of GTFS-RT, optimized Parquet for scale.

GTFS · Parquet · DuckDB

Ministry RAG Application

Knowledge management system to support monitoring and evaluation workflows.

RAG · Knowledge

Contact

Email: geboers.sven@gmail.com

Phone: +31 657 95 90 96 — The Hague area, Netherlands

LinkedIn