AL AFIARamzi
Econometrics & Data Science
Open to relocation across Europe, and to Canada.
MarzschHugging Face
MarzschLinkedIn
Ramzi AL AFIAExperience
Independent artistic practice
Independent artistic practice
Animation school candidate
Context
Independent preparation for competitive animation school admissions, with GOBELINS Paris as the primary target.
Lasting habits of observation, composition and visual organisation.
Observe
Attention to form and detail
Compose
Visual hierarchy and structure
Narrate
Ideas shaped into coherent work
Education
2024 — Present
Master 2 – Data Science, Econometrics and Statistics (English track)
Aix-Marseille School of Economics, Aix-Marseille University · Marseille, France
- Advanced training in econometrics, statistics and probability theory.
- Coursework includes time series analysis, causal inference, machine learning and dynamical systems.
- Foundations of scalable data processing and big data tools (Hadoop, Spark, SAS).
- Applied projects across finance, economics, marketing and sustainable development.
- Program fully taught in English within an international academic environment.
2021 — 2024
Bachelor – Economics and Finance
Faculty of Economics and Management, Aix-Marseille University · Marseille, France
- Training in applied mathematics, microeconomics, macroeconomics, game theory, finance and econometrics.
- Development of analytical reasoning and economic modeling skills.
Skills
Engineering Stack
- Python
- R
- Julia
- SQL
- NumPy
- pandas
- scikit-learn
- XGBoost/LightGBM
- SciML
- PyTorch
- JAX
- Hugging Face
- LangChain
- Spark
- Arrow
- Dask
- Ray
- PostgreSQL
- MongoDB
- Docker
- AWS
- Google Cloud
- Git
- Excel
- SAS
- Power BI
- Tableau
- Next.js
- Node.js
- Jira
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Quantitative Methods
Statistical inference
Estimating parameters and quantifying uncertainty from observations.
Econometric modelling
Modelling economic relationships while accounting for structure and heterogeneity.
Causal inference
Identifying causal effects through assumptions, research design and evidence.
Time series
Modelling temporal dependence, forecasting and changing dynamics.
Statistical learning
Learning patterns and predictive relationships from data.
Stochastic modelling
Representing random dynamics and their probabilistic behaviour.
Optimization
Solving objective-driven problems under constraints.
Scientific computing
Implementing numerical computation through vectorization, parallelism and GPU acceleration.
Languages
- FRFrançaisNative
- ENEnglishC1
- ESEspañolIntermediate
- ARالعربيةIntermediate
Environments
Finance
Insurance
Energy
Public institutions
Research
Retail
Roles
Quantitative Research
- Quantitative Researcher
- Quantitative Analyst
- Risk Analyst
Machine Intelligence
- Machine Learning Engineer
- Data Scientist
Data Systems
- Data Engineer
Ambitions
I aim to work on complex problems where quantitative methods, machine intelligence and data systems turn imperfect information into better decisions.
Over time, I want to move closer to research and to the design of models and systems that operate under uncertainty.
Trajectory
2019
Creative ShiftFrench BaccalaureateGeneralistHigh School Diploma
Scientific foundations & early exploration
2020
Art & Animation
Visual thinking, composition & storytelling
2021
Quantitative ShiftComputational ShiftEconomics & Finance
Economic reasoning, markets & decision-making
2024
Intelligence ShiftMSc · Data Science,Big Data & EconometricsData Science & Econometrics
Statistical inference, modelling & empirical analysis
2026
GraduationMScAI Engineering
Learning systems, computation & deployment
- Seekinginternships
Applied AI & Quantitative Research
Models, uncertainty & complex systems
Documents
Curriculum Vitae