Welcome to this portfolio
DATA ANALYST / DATA ENGINEER
I’m Anas Jebali. I build data pipelines and analytics tools that support business teams. Two years of experience working with production data.
Montpellier, France — Data Engineering · BI · Applied AI
01 / PROJECTS
Tressol-Chabrier · Work-study placement
A multi-label NLP pipeline, from model to production.
Tressol-Chabrier · Work-study placement
Structuring, archiving and reconciling customer master data.
Tressol-Chabrier · Work-study placement
Sales and after-sales performance monitoring in Power BI.
Tressol-Chabrier · Work-study placement
An NL2SQL application for non-technical users.
Tressol-Chabrier · Work-study placement
Optimising a process from SQL Server to the OpenFlex CRM.
JobAppeal · Freelance
An ELT pipeline deployed to production, scoped with management.
Personal / academic project
Domain adaptation with a bidirectional CycleGAN.
GeoLifeCLEF 2025 · Personal / academic project
Multi-label prediction from multimodal data.
From business needs to implementation. Eight projects that show how I work.
02 / ABOUT
My focus: the intersection of data, engineering and business decision-making.
At Tressol-Chabrier, I worked across the entire data lifecycle: extraction, structuring, analysis and reporting. From production pipelines to tools used by the CTO and business leaders, I focus on making data usable.
Build the foundations: pipelines, a data warehouse and unified customer data repositories.
Turn data into clear, useful metrics for business teams.
Adapt models to the data and business taxonomies, then deploy them to production.
Make data exploration accessible through natural language.
03 / EXPERIENCE
Two years working with production data in an automotive group. Structure data from multiple sources, analyse customer feedback and make metrics accessible to business teams.
CTO, Marketing, VN and VO departments, business teams and Tech & Data. Periodic metric reviews.
Automotive, freelance work and healthcare. Different settings, the same focus on how the tools are used.
04 / SKILLS
Each technology finds its purpose
in what it helps us build.
Python · SQL · SQL Server
Advanced Python and SQL. Structuring, archiving and reconciling customer data repositories.
Data WarehouseBigQuery · Cloud Scheduler · REST API
A production ELT workflow, from extracting customer interactions to reporting.
JobAppeal pipelinePower BI · DAX · Power Query
Advanced Power BI. A management dashboard used by the CTO and business leaders.
Power BI reportingCamemBERT · Hugging Face · NLP
CamemBERT for review classification; Hugging Face for generative AI evaluation at the university hospital.
Review classificationMistral Large · Streamlit · Plotly
An NL2SQL application for exploring the customer data repository in natural language.
NL2SQL applicationPyTorch · Scikit-learn · SHAP · Grad-CAM
CycleGAN for day-to-night domain adaptation; GeoLifeCLEF for multi-label prediction.
GeoLifeCLEF 2025Docker, Azure DevOps and weekly quality checks on the Partoo extraction pipeline. Training for the Tech & Data team in multi-source extraction and SQL optimization.
R, Bash, MongoDB, PySpark, Medallion architecture, Tableau, RAG, GCP (Compute Engine, Cloud Functions), Git, hypothesis testing, time series, mixed models, Bayesian inference, Agile and JIRA.
05 / EDUCATION
LANGUAGES
French Native
English C1 · Professional proficiency
Arabic Fluent
Applied Mathematics and Computer Science
Université Paul-Valéry, Montpellier 3
NVIDIA Deep Learning Institute
Applied Mathematics and Computer Science
Université Paul-Valéry, Montpellier 3
06 / GET IN TOUCH
Montpellier, France
Seeking permanent / fixed-term roles in Data & AI.
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