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Thomas VanhaerenTV
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Thomas Vanhaeren

@thomasvanhaeren

I build data-driven products and lead Agile delivery across regulated, complex environments.

Romania
Message

What I'm looking for

I'm looking for remote-first or value-driven hybrid roles across Europe where I can combine product ownership, Agile delivery, data and machine learning to deliver reliable solutions in complex, regulated environments.

I'm currently helping Renault Group's COGS Factory implement Scrum across three international squads, guiding product priorities, roadmaps, clean backlogs, estimations, and delivery reporting.

At Arithma, I'm building an AI-powered football intelligence platform that turns raw match data into tactical recommendations, player insights, forecasts, simulations, and explainable coach-facing dashboards. I own the product end to end, from data models and APIs to ML logic, UX flows, reporting, and iterative model validation.

Previously, I owned modernization and regulatory-compliance delivery for Luminus's cloud short-term optimization platform for energy traders, while supporting Eurocontrol's transition to a secure, scalable hybrid-cloud platform for air traffic management.

My PhD research combined machine learning, genomic data, and explainability: I built pipelines reaching 95% F1-score in chromatin loop classification, created a pan-mammalian R-loop atlas across 51 species, and published three first-author papers. I bring scientific rigor, product leadership, and hands-on engineering to data-driven work in complex regulated environments.

Experience

Work history, roles, and key accomplishments

RG
Current

Scrum Master

Renault Group

Jan 2026 - Present (7 months)

Assist the COGS Factory team in implementing Scrum and Agile practices, serving as a servant-leader for three squads of over 35 members. Guide the Product Owner in defining priorities and building a product vision, roadmap, and timeline.

Education

Degrees, certifications, and relevant coursework

PS

PhD in Computer Science / Data Science

Doctor of Philosophy, Computer Science / Data Science

2019 - 2025

Grade: Sobresaliente Cum Laude

Doctoral studies in Computer Science with a focus on Data Science, completed with the highest distinction (Sobresaliente Cum Laude).

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