Freelancer profile translated to English.

Description

Data Consultant with 9+ years of experience in data engineering, analytics, and data science projects, with strong expertise in Python, SQL, R, and SAS. Experienced in designing and optimizing ETL pipelines, data analysis, and developing analytical solutions for the finance, automotive, media, and industry sectors.

Solid mathematical background and ability to transform complex data into useful insights for decision-making. Highly motivated to further specialize in Data Science and advanced Python solutions, with a results-oriented approach, technical rigor, and strong adaptability to client environments.

✔️ Certified SAS & Python

✔️ Multi-sector experience

✔️ Autonomous, reliable, business value oriented

Available for missions in Data Engineering, Analytics, Data Science (Python), Python Developer.

Languages

English
Native or bilingual
French
Native or bilingual
Dutch
Basic

Workplace preferences

Remote only

Primarily works remotely

WeLoveDataScience
Data Scientist Consultant
September 2018 - December 2025 (7 years and 3 months)
Designed and deployed ETL workflows using SQL, Python, and R for geospatial, B2B/B2C, and data quality solutions.
Developed and maintained APIs using FastAPI and Docker for production environments.
Led analytical and data engineering projects for major clients including BMW, AGC Glass, SNCB, IPM, and Airties.
Contributed to internal R&D on spatial databases and automated matching systems.
Technologies: Python, R, SQL, FastAPI, Docker, PostgreSQL, PySpark, Tableau, Azure Databricks, Git, PostGIS.
FastAPI Python PostgreSQL R programming Docker
Business & Decision
Risk & Data Consultant
November 2015 - September 2018 (2 years and 10 months)
Developed and maintained SAS-based risk and reporting applications for financial and public-sector clients.
Designed data quality controls, dashboards, and regulatory reporting solutions.
•Contributed to the AnaCredit proof of concept presented at SAS Forum Brussels 2016.
Technologies: SAS, SQL, Excel, JavaScript, HTML.
SAS SQL