Data Science & Project Management
Your data already knows a great deal about your assets, your flows and your costs. L'Astrolabe turns that raw material into concrete decisions — from the first business question to a model running in production.
Sectors
What I do
Depending on how mature your organisation is, I work on the technical build, on the steering — or on both.
01
Exploratory analysis, machine learning and optimisation applied to your operational data: consumption, sensors, maintenance, logistics flows.
02
Framing, steering and de-risking your data and IT projects, across business, IT and vendor teams that rarely speak the same language.
About
The astrolabe is the instrument that let navigators take their bearings: knowing where you are before deciding where to go. That is exactly the role I play for my clients.
A civil engineer by training, with a specialised master's in data science from the Université Libre de Bruxelles (ULB), where I taught an introductory machine learning course, I have spent more than twenty years in the field, in Belgium and abroad — from coordinating a production site in Singapore to business development in Africa. First as an engineer, then as a project manager, and finally as a data scientist: it is that combination that lets me turn an operational challenge into a model, and a model output into a decision your teams can act on.
I founded L'Astrolabe in January 2025 to put that experience at the service of the sectors that keep the real economy running: energy, transport and industry. Demanding environments, where a model is only worth something if it is understood, adopted and maintained by the teams.
I work directly with you, with no middleman: the person you talk to is the person doing the work. Deliverables are documented and handed over, so your teams stay autonomous once the engagement ends.
Contact
Tell me about your context in a few lines. I reply within two working days, and a first conversation commits you to nothing.
