About Margaux
I hold a Master’s degree in Computer Science and Engineering from École Polytechnique de Louvain (Belgium) with a major in Artificial Intelligence (Magna Cum Laude).
Ambitious and persevering, with an entrepreneurial and proactive mindset, I am an analytical and result-oriented problem solver who is constantly developing my technical, interpersonal, and business skills. I am curious and passionate about innovative projects that require me to challenge myself and step out of my comfort zone.
French
Native or bilingual
English
Fluent
Dutch
Conversational
Can work on-site
Lyon (up to 50km), Annecy (up to 50km), Genève (up to 30km)
Experience
- Elia BelgiumData Platform EngineerTRANSPORTATIONApril 2023 - Today (3 years and 2 months)Bruxelles, Belgium
- Design and implement complex data solutions and cloud-native architectures using Microsoft Azure and Databricks
- Build and maintain a robust, scalable, and reliable data infrastructure aligned with evolving business needs
- Collaborate with stakeholders to design and deploy efficient, production-ready data pipelines
- Ensure code quality and deployment stability through rigorous testing, Git-based workflows, and DevOps best practices
- Leverage Python to develop and optimize data workflows, ensuring performance and maintainability
- KBC BEData Analyst & EngineerBANKING AND INSURANCEJuly 2022 - April 2023 (9 months)Leuven, Belgium
- Collaborate with stakeholders to understand data needs and align solutions with business objectives
- Gather, validate, and analyze data using SQL and Python to deliver actionable insights
- Design and implement scalable ETL pipelines to process and store data efficiently
- Leverage Hadoop and AWS to build secure and high-performance data workflows
- Apply CI/CD practices using Jenkins to automate testing and deployment to multiple environments
- Document data pipelines and processes to ensure quality, consistency and maintainability
- ASML Netherlands BVArtificial Intelligence EngineerNANO-TECHNOLOGYSeptember 2021 - February 2022 (5 months)
- Develop constrained sequence optimization models to improve production processes
- Leverage AI and machine learning techniques to analyze historical production data for supply chain optimization
- Design solutions that parallelize production steps and assign tasks to operators while respecting operational constraints
- Deliver packaged Python CLI tools for easy deployment and use as black-box solutions
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Education
- Master in Computer Science and Engineering (Magna Cum Laude)Ecole Polytechnique de Louvain@UCLouvain2021Orientation : Artificial Intelligence & Machine Learning
- Bachelor in EngineeringEcole Polytechnique de Louvain@UCLouvain2019Orientation: Computer Science & Applied Mathematics
Certifications
- Microsoft Certified: DevOps Engineer ExpertMicrosoft2025
- Microsoft Azure Administrator AssociateMicrosoft2022