Summary
Nicolas Lassaux is a machine learning and optimization leader with 11 years of experience applying ML to real estate problems, currently co-founding and heading ML at HelloData.ai to automate pricing, data extraction, and repetitive workflows. He moved from building predictive pricing and document-parsing models as one of the earliest hires at Enodo to leading data science at Walker & Dunlop, where his teams’ models helped source billions in loan volume and cut underwriting times by roughly 30%. Nicolas blends hands-on engineering across front-end, back-end, and MLOps with an operations-research mindset, enabling practical, production-ready solutions rather than research prototypes. Based in Amsterdam with engineering roots from École ENSEIRB-MATMECA and a US master’s stint, he’s particularly focused on cleaning and structuring messy real-estate data to unlock new decision-making signals.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Illinois Institute of Technology
Master's degree Computer Science, Master's degree Computer Science at ENSEIRB-MATMECA
DEUG Mathematics / Physics, DEUG Mathematics / Physics at Classes Préparatoires de Bordeaux (CPBx)
French, English, Spanish