Freelancer profile translated to English.

Description

🚀 Data Scientist / ML Engineer – From raw data to production deployment

Graduated engineer from EPITA, I help companies design and industrialize Data & AI solutions, from business scoping to production deployment.

I work across the entire value chain:

🔎 Scoping & Design

Business needs analysis
Scoping workshops
Data / ML architecture definition
PoC realization

⚙️ Data Engineering & Machine Learning

Data processing pipeline design
Feature engineering & model training
NLP & LLM (classification, summarization, information extraction)
Model optimization and evaluation

🚢 Industrialization & MLOps

CI/CD pipeline implementation
Containerization and deployment
Code standardization (unit & integration tests)
Production deployment and monitoring

💡 What I bring to my clients

A business impact-oriented approach
Robust and maintainable solutions
Ability to work from prototype to production
Strong focus on generative AI and new LLM use cases

🛠 Main Stack

Python · Pandas · Streamlit · GitLab CI · Concourse · Dash · Transformers · NLP · CI/CD · Data Pipelines · Airflow

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

France Travail
ML Engineer (OCTO)
PUBLIC SECTOR
March 2024 - October 2025 (1 year and 7 months)
Paris, France
Data support within a team developing AI products for internal company use. Participation in various data projects from design (Scoping workshop, needs definition, PoC...) to deployment (GitLab/Concourse CI/CD Pipeline), including realization (Data engineering, Data visualization, Data Science).

- Interview with business experts to identify friction points and scope technical solutions meeting their needs
- Creation of ETL data preprocessing pipelines for custom JIRA data historization
- Refactoring of code for a data visualization WebApp (dash)
- Establishment of code standards for tests (unit, integration)
- Implementation of an agentic/Rag system for incident resolution assistance
- Realization of a JIRA ticket classification MVP
- Creation of a web application to visualize MVP results

Environment: Python, Pandas, Dash, Streamlit, GitLab, GitLab CI, Concourse, transformers
Python Data visualisation Data science Data Engineer
Agora
Data Scientist (OCTO)
PUBLIC SECTOR
October 2023 - December 2023 (2 months)
Paris, France
As part of the improvement of a citizen participation mobile application, categorization of open-ended answers into topics inferred from the responses.

- Airflow pipeline to prepare and analyze data
- Topic Modeling and Text Summarization by topic using NLP
- Web Application to highlight analysis results

Environment: Python, Pandas, Bert, Airflow
Python Data visualisation NLP
Qualicharge
Data Engineer (OCTO)
PUBLIC SECTOR
September 2022 - September 2023 (1 year)
Paris, France
Data Engineer in a 3-member startup, setting up a Data infrastructure from scratch on GCP, Dataviz/Data engineering, and performing analysis on electric vehicle charging station data.

- Configuration of BigQuery and Dataflow on GCP
- ETL pipelines on Dataflow to convert data from Cloud Storage to BigQuery
- Interviews with Business Experts to demonstrate our impact and improve data understanding
- Development of a Python web application to display customized dashboards on acquired data
- Integration of the WebApp on a website deployed in collaboration with another startup

Environment: Python, GCP, BigQuery, Dataflow, Pandas, Streamlit
Python Data science Data Engineer MLOps