Thomas Marken
Amsterdam, Netherlands
thomas@example.com
thomas@example.com
Profile
Machine learning engineer with six years of experience turning complex data into practical products. Specialises in demand forecasting, predictive analytics and production-ready data pipelines. Works closely with product, engineering and commercial teams, from the first business question to deployment and model monitoring.
Education
Tilburg University2018 – 2020MSc Data Science & Society
Focus: machine learning, statistical modelling and responsible AI. Thesis on explainable customer-churn prediction.
Tilburg University2015 – 2018BSc Data Science
Coursework in programming, statistics, databases and data visualisation.
Experience
Heineken2022 – PresentMachine Learning Engineer
- Builds demand-forecasting models in Python and SQL to support supply planning across European markets.
- Owns automated training pipelines, model validation and monitoring with Azure and MLflow.
- Translates stakeholder requirements into measurable experiments and mentors junior analysts.
Northwind2020 – 2022Data Analyst
- Developed Power BI dashboards for sales, customer retention and operational performance.
- Combined CRM and transaction data into reliable datasets, with automated quality checks.
- Presented findings to commercial teams and designed experiments to improve customer engagement.
Northwind2019 – 2020Data Science Intern
- Built a customer-churn prototype for a master’s research project, comparing classification models and explaining key drivers.
- Documented the analysis and handed over a reproducible Python workflow to the analytics team.
Skills
Python · SQL · scikit-learn · Azure · MLflow · Power BI · Git · Data modelling
Certifications
Microsoft Certified: Azure Data Scientist Associate · 2023
Languages
Dutch · Native · English · Professional working proficiency
