Able to deliver end-to-end data work: cleaning and structuring datasets, running rigorous analysis (statistics, econometrics, ML), and translating results into clear, actionable insights. Comfortable with reproducible workflows, documentation, and decision-oriented communication—especially on economic and environmental topics.
Hi! I’m Aurel VEHI, a junior Data Analyst and Research Analyst with a background in economics and applied data science. I turn complex datasets into clear, reliable insights through rigorous analysis, reproducible workflows, and clean communication. I’m especially interested in economic and environmental topics, where data can support better decisions, and I enjoy connecting technical work to real-world context. I’ve worked end-to-end—from cleaning and structuring data to EDA, econometrics and ML when relevant, and writing reports or research. I’m comfortable working autonomously, documenting work, using version control, and collaborating, and I’m currently looking for research or industry opportunities to grow.
I build data projects that stay clear and reproducible — from structured analysis to clean reporting — across academic and personal case studies.
Mon parcours en data et analyse économique rassemble compétences techniques, expériences académiques et professionnelles, ainsi que certifications. Mes connaissances et compétences, au service de solutions concrètes.
Laboratoire ECOSEAS - Centre Scientifique de Monaco
Mar - Oct 2025 • Intern
Nice (France) - Monaco
Centre Scientifique de Monaco
Oct - Dec 2024 • Contract
Monaco
Family Sphere
Mar 2023 - Jun 2024 • Contract
Nice, France
Family Sphere
Jul - Sept 2023 • Intern
Nice, France
Python
R Language
Stata
Julia
MySQL
PostgreSQL
MongoDB
Pandas
Scikit-Learn
Tensorflow
PyTorch
FastApi
This is a selection of my writing and research work.
Feel free to contact me for any questions or collaborations.
Nice, France.
