Statistician / Data Enthusiast
Luxembourg and Belgium
✉️ fabricevb@hotmail.com
🐙 github.com/fabricevb
💼 LinkedIn
Not much here yet.
Will add more in the near futur
For the moment, find my CV below
Who Am I?
Dynamic and results-oriented data scientist and statistician with a proven track record of delivering high-quality projects and solutions. I possess a deep understanding of legal, economic, and data aspects in complex litigation. My expertise in data and programming languages enables me to turn data into action. Passionate about innovation and problem-solving, I am always seeking new challenges and opportunities.
Experience
Data Scientist (Administrateur)
Court of Justice of the EU - InnovationLab (10/2024 – current)
- AI, GenAI, ML, LLM, …
(Senior) Statistician / Data Scientist
CDC Cartel Damage Claims Consulting (1/2019 – 6/2024)
- Lead and coordinate all aspects of data collection and analysis, communicating effectively with external parties across Europe.
- Develop and maintain coding pipelines, create interactive dashboards, and perform econometric modeling.
- Handle data, economics, and legal aspects within court proceedings.
- Spearheaded automation and workflow enhancement projects.
Key Skills: Project Management, Data Mining, Advanced Analytics, Competition Law, Statistical Modelling, Big Data, Kedro, Airflow, AWS, Azure, R, Python, SQL
Research Intern
National Bank of Belgium (9/2018 – 6/2019)
- Conducted research on predicting national growth based on survey data.
- Presented findings at the 2019 Central Bank Business Survey (CBBS) conference and the National Bank’s Council of Regency.
Key Skills: R, Data Management, Statistical Modelling, Time Series Analysis
Non-Profit
Treasurer and board member at Famisol, an NGO supporting families with disabled children.
Education
-
LL.M. in Competition Law and Economics
Brussels School of Competition (2020 – 2021)
Thesis: The economic approach and the need for legal certainty in competition damage claims -
MSc. in Statistics
KU Leuven (2016 – 2019)
Thesis: The Variability of the Belgian Business Survey Indicator - analysis and predictive power -
Bachelor in Political Science
Université Libre de Bruxelles (2013 – 2016)
Erasmus: Universidade Católica Portuguesa, Portugal
Languages
- French: Native
- English: Fluent
- Dutch: Fluent
Hobbies
- Climbing
- Cycling
- Tennis
- Chess
Certifications
- Graduated Statistician (GradStat), Royal Statistical Society (6/2020 – Current)
-
- Natural Language Processing Specialization, DeepLearning.AI (9/2024)
- Cybersecurity Certificate, Google (9/2023)
- Publishing Visualizations in R with Shiny and flexdashboard, Coursera (11/2022)
- Microsoft Azure Machine Learning for Data Scientists, Microsoft (10/2022)
- Practical Data Science on the AWS Cloud Specialization, DeepLearning.AI (10/2022)
- Project Management Certification, Google (4/2022)
Projects Worked On
- Document Submission Automation: Developed a Python and R-based system for court document submission.
- Data Automation: Streamlined data collection and cleaning workflows using Kedro, Airflow, and Python.
- Quantitative Analysis for Damage Quantification: Led analyses to assess damages, ensuring accuracy and validity.
- Public Data Processing: Automated data gathering from Eurostat, ECB, and IMF for economic analysis.
- Email Communication System: Built a system for automated, personalized email communication.
- Interactive Dashboard Design: Designed dashboards using R (Shiny, Flexdashboard) and Python (Streamlit).
- Litigation Risk Analysis: Monitored and analyzed litigation risks.
- Expert Report Co-authorship: Co-authored expert reports and published blog posts on legal-economic topics.
Featured Blog Posts:
- Decoding Transaction Data in Private Competition Law Damage Litigations
- Challenges in Quantifying Private Antitrust Damages
- General Court Dismisses Scania’s Appeal in the Truck Cartel Case
Coding
- R: 100%
- Python: 100%
- SQL: 100%
- Power BI: 90%
- Git: 80%
- SAS: 80%
- STATA: 40%