Python · Machine Learning · Data analysis and visualisation
I am a data scientist (PhD) based in Amsterdam. I build end-to-end machine learning and analytics pipelines on large, complex datasets and turn them into clear, decision-ready insight: interactive dashboards, maps, and live platforms that non-technical users rely on directly. After six years of research on high-dimensional climate data, I now bring that craft to applied, industry data science.
Live data product · founder and operator
An open, live climate-forecasting platform that turns large, complex satellite and model datasets into clear, map-based signals for non-technical users. I own it end to end: data pipelines, statistical modelling and validation, interactive maps and dashboards, requirements gathering, user training, and regular operational updates driven by user feedback.
Visit ENSOscope
Machine-learning platform · founder and builder
An explainable machine-learning layer over satellite vessel-tracking (AIS), radar, and optical imagery that flags suspected illegal fishing, with a reason and supporting evidence for every flag. Built end to end: multi-source data fusion, anomaly detection and model scoring, and an interactive map interface for researchers and policymakers.
Visit SeaVigilWorking languages: French (native), English (C2, fluent), Dutch (A2, improving).
The best way to reach me is by email. I am open to data scientist, data analyst, and data specialist roles, freelance projects, and collaborations, and always happy to talk about turning messy, complex data into products people can use.