💼 Professional experience
Agilytic
Data Analyst/Scientist Since 2023
- Banking : Improvement of cross selling algorithms through smart feature engineering and modelling. Python
- Financial institution : Creation and implementation of a dashboarding tool to simulate the effects of changes in business model, analyzing all historical transactions and contract details. SQL, Python, PowerBI
- Banking : Fraud detection automation with metadata & text analysis, image extraction and steganography. Python, Docker, Azure.
- Storage provider : Support the implementation of Data Governance focusing mainly on access management and documentation. Azure Purview
- Retail : Creation and implementation of a recommender system. Python, Docker
- Internal projects
- Finetuning and benchmarking of Large Language Models. Python, Databricks.
- Automation of NBB and ECB data collection to build a comprehensive B2B database to enrich lead scoring models. SQL, Python, Azure.
Nike
Data and Insight Intern 2023 Worked in a data squad on analysis, modelling and reporting for forecasts of Supply chain data. Technologies: Python, Snowflake, AWS
🦾 Certifications, trainings
Methodologies
- Data analysis
- Statistical analysis
- Machine Learning
- Cloud computing
- Project Management
Software & programming
- Python
- SQL
- Power BI
- Docker
Certifications
- Microsoft Power BI Certified Data Analyst Associate
- AWS Cloud Practitioner
- AWS Certified Machine Learning – Specialty
- Databricks Certified Machine Learning Professional
🎓 Academic credentials
- Master of Business engineering KU Leuven, 2021-2023
- Bachelor of Business engineering, technologies and information management UNamur, 2018-2021
🇺🇳 Languages
🇫🇷 French: Native
🇬🇧 English: Native level
🇳🇱 Dutch: Limited proficiency
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.