Freelancer profile translated to English.

Description

Doctor of Biochemistry converted to data science, I support you in the analysis, structuring and valorization of your data, particularly scientific, industrial or from the health/pharma sector.

Specialized in machine learning and visualization, I intervene on:

• Predictive modeling: classification, regression, clustering

• Data cleaning and preparation (Python, Pandas, SQL)

• Creation of interactive analysis tools (Power BI, Streamlit, R Shiny)

• Exploratory projects or POC (proof of concept)

• Structuring business databases (Benchling, Confluence, Jira)

Experience in companies (Sanofi mission – ESN), in laboratories, and as a freelancer. I offer clear, useful, and well-documented solutions.

🔧 Daily Rate: €300/day (negotiable depending on duration or high-impact mission)

📍 Based in Brittany – 100% remote work possible

Industry field of expertise

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Saint-Brieuc (up to 50km), Rennes (up to 20km)

Akkodis
Data manager/cleaner
PHARMACEUTICALS INDUSTRY
July 2024 - December 2024 (5 months)
Data Engineer – Akkodis (Sanofi mission) – 2024 (6 months, fixed-term contract)
• Cleaning, standardization, and documentation of scientific data (benchling)
• Data catalog management (metadata, glossary, nomenclature)
• Collaboration with data owners / data stewards in Agile/Scrum mode
Environment: Pharma, Python, SQL, Agile, structured data management.
Agile project management Ontologies
Autoentrepreneur
Freelance – Data Scientist / Tester Developer
October 2022 - Today (3 years and 8 months)
France
• Execution of data science projects for portfolio and potential clients
• Creation of Flask APIs for fraud detection, visualization via Streamlit
• Automated testing of pipelines and APIs with Postman, Robot Framework.
Cargill
R&D Assistant | Chemometrician
AGRICULTURE
June 2018 - February 2022 (3 years and 8 months)
Saint-Brieuc, France
• Analysis of multi-device NIR data (raw materials, forages)
• Development and deployment of predictive models for sample quality
• Automation of analytical reports for R&D and quality control teams
Tools: SAS, R, Python, chemometrics.