Mathieu Lega

💼 Professional experience

Agilytic

Data Scientist

Since December 2024

• Azure development (Foutain project): Built and maintained Azure-based data and automation components (Azure Functions, Logic Apps, Azure DevOps CI/CD), enabling scalable integrations and reliable operations.
• Retail: Modeled and forecasted online sales for a leading home appliance retailer, identifying key sales drivers and delivering actionable growth strategies through optimized machine learning models (XGBoost, SHAP) and interactive Power BI dashboards.
• Media: Developed and deployed four Power BI reports and a centralized analytics dashboard for a national media group, streamlining user access management and empowering the analytics team to meet evolving business reporting needs.
• FMCG: Implemented an automated, harmonized market share reporting architecture (medallion pattern: bronze, silver, gold) for a global FMCG manufacturer, delivering scalable and reliable insights aligned with strategic business requirements.
• Furniture Wholesale: Designed a short-term AI roadmap and automated repetitive processes for a distribution company, improving operational efficiency and reducing staff workload through Power Platform automation (Power Automate) informed by comprehensive data quality assessment.
• Distribution: Conducted price elasticity analysis and market trend evaluation for a consumer brand, leveraging advanced analytics to optimize pricing strategy and drive revenue maximization.
• Education: Designed and deployed a database and automated workflow solution for room rental management at a university center, streamlining operations and improving resource utilization through Power Platform.
• Storage: Deployed an AI-powered analytics chatbot enabling a storage company to query and interact directly with its business data, democratizing data access across the organization.

Brainstorm Consulting

Data Management Consultant

2022-2024

I have been involved in various projects involving data analysis and management. These projects fell into three categories. The first category comprised projects related to data migration. These therefore required in-depth analysis of the data and its quality in order to migrate it to new infrastructures. The second category consisted of dashboarding and data visualisation projects. Once again, data analysis was an essential first step in producing high-quality visualisations. Finally, the third category involved requirements engineering projects, the main aim of which was to understand the client and their needs.

University of Namur

PhD Researcher

Oct 2020 – Sept 2024

The aim of my PhD was to develop tools to mitigate the effects of information overload on decision-making. My thesis was divided into three parts. The first part was a study of the context in which my work was applied: governments. The second part focused on data and included, in particular, the development of an automatic measure of data quality based on metadata. Finally, the third part presented concrete applications in the form of tools developed in collaboration with partners from the professional world.

🦾 Certifications, trainings

Methodologies

• Reporting & dashboarding
• Data Visualization
• ETL
• Data Modelling
• Descriptive analysis
• Predictive analysis
• Agile
• SCRUM
• Graph Theory

Software & programming

• Copilot Certified
• Python
• SQL
• Power Automate
• PowerBI & Tableau
• Snowflake
• MySQL
• Excel
• MongoDB
• Java

Certifications

• AZ-900: Microsoft Azure Fundamentals
• PL-300: Microsoft Power BI Data Analyst Associate

🎓 Academic credentials

PhD in Economical and Management Sciences

University of Namur, 2024

MS in Business Engineering (Data Science option)

Magna Cum Laude

University of Namur, 2020

Bachelor of Management Engineering (Information Management option)

Magna Cum Laude

University of Namur, 2018

🇺🇳 Languages

🇫🇷 French: Native (C2)

🇬🇧 English: Fluent (C1)

🇳🇱 Dutch: Working Proficiency (B2)