À propos de Martin
I'm an experienced data science leader and builder, passionate about driving sustainable business impact through data insights and products.
My main expertise lies in helping clients define and implement their data strategy, combining accelerated value creation with the implementation of the required infrastructure and team foundations.
In the past, I've assembled and led world-class data science teams and worked with clients across a variety of industries. I am recognized by colleagues and clients alike for my determination and resilience in overcoming obstacles. These are qualities that I consistently instill in my team, fostering a culture of excellence.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Brussels (jusqu’à 50 km), Anvers (jusqu’à 100 km), Liège (jusqu’à 100 km), Amsterdam (jusqu’à 50 km), Lille (jusqu’à 100 km)
Expériences
- SHOPIFYData Science ManagerE-COMMERCEoctobre 2021 - mai 2023 (1 an et 7 mois)1809 E 11th St, Tulsa, OK 74104, USALed the data science team supporting the Shop Promise program and building the machine learning system predicting merchant delivery dates (https://www.shopify.com/shop-promise)• Built a team of 7 Staff and Senior Data Scientists and co-led one of Shopify's majorinitiatives in the past 2 years to rival the Amazon Prime program in the United States.• I led the development and deployment of a machine learning product to predict thedelivery dates of online orders for US merchants by assembling a team of specialized ML profiles across the company. Shipped a working system from scratch in 2 months using an iterative development approach. This was the main enabler for the launch of the Shop Promise program in 2023 to 30% of US domestic shipments.
- Air LiquideDigital & Data Science ManagerENERGIEjanvier 2021 - octobre 2021 (9 mois)Brussels, BelgiumLed a team of 10 FTEs in charge of the digital & analytics transformation of Air Liquide's Large Industries business in Northern Europe.• Grew a team of mixed technical and business profiles from 3 to 10 FTEs• Delivered a hydrogen production strategy over a network of plants with a 10 20 mEURimpact over 5 years by building demand forecasting models and optimization algorithms• Built the 5-year Digital & Analytics roadmap for the Large industries business unit byleveraging a series of diagnostics / value assessments and internal expert inputs
- McKinsey & CompanyManagement Consultant - Lead Data ScientistCONSEIL & AUDIToctobre 2018 - janvier 2021 (2 ans et 3 mois)Brussels, Belgium• Enabled a pharma producer to improve operational performance by 25% using advanced analytics; coached the client data scientists on aspects such as model creation & refinement and generating insights that translate into concrete actions• Designed the analytics strategy and data organization for a leading automotive player; leveraged analytics to investigate two main avenues for a future product offering: a. EV fleet management and b. front-end services• Helped a chemicals player increase plant capacity by 10% by debottlenecking a key process; worked with client engineers and data scientists to find optimal process settings through data science techniques• Helped a pharma player to reduce downtime by 50% on their assembly line. Led a team of 3 data scientists to build models to guide an iterative experimentation approach on the production line• Developed a digital vision (‘plant of the future’) for a consumer goods manufacturer; identified several use cases through diagnostics, estimated value at stake and created business case and implementation plans
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Formations
- Master of EngineeringUniversité libre de Bruxelles2013Master's degree, Aeronautical Engineering - Summa Cum Laude and Jury's honors
- Exchange, Aeronautical EngineeringMcgill University2012Exchange, Aeronautical Engineering - GPA 4.0 / 4.0