Freelancer profile translated to English.

Description

An engineer by training, I am interested in process automation and artificial intelligence solutions applied to business needs.

I support SMEs in implementing automated workflows with Make to simplify repetitive tasks and improve operational efficiency: lead management, automatic responses, prospect qualification, appointment scheduling, and integration between different tools.

My goal is to design simple, reliable systems tailored to business needs, enabling teams to save time and focus on high-value activities.

Skills:

• Automation with Make

• Integration of tools and APIs

• Automation of lead management

• Artificial intelligence applied to business processes

• Google Workspace, Gmail, Google Sheets, Calendly

• Python

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

SIPLEC (E.Leclerc)
Data Analyst
RETAIL (LARGE RETAILERS)
January 2026 - Today (5 months)
Ivry-sur-Seine, France
• ● Prototype and structuring of electronic invoicing flows as part of the French e-invoicing reform.
• ● Performing end-to-end tests on electronic invoicing flows to validate the compliance and integration of exchanges between applications.
• ● Collaboration with business and technical teams to define functional requirements and automate processing processes.
• ● Contribution to processing flows representing approximately 2.8 million invoices per year for an estimated value of over 1.5 billion euros in transactions.
• ● Participation in the processing and validation of over 20 different types of invoicing flows (invoices, credit notes, commissions, DDS, F&L, alcohol, etc.).
Business Process Automation AI Automation
Astek Group
Data Scientist
CONSULTING AND AUDITS
March 2025 - July 2025 (4 months)
92100 Boulogne-Billancourt, France
• ● Development of a C program classification system using fine-tuned models (Python, PyTorch, Transformers), applied to a corpus of over 50,000 source files.
• ● Evaluation of 8+ open-source Hugging Face models with adaptation to code specifics and improvement of classification performance by nearly 15%.
• ● Implementation of performance metrics for LLM model evaluation (accuracy, F1-score, recall), with an F1-score above 92% on test sets.
• ● Design of an architecture facilitating integration and reuse by development teams, reducing model experimentation time by 30%.
Artificial Intelligence Natural Language Processing (NLP) Machine learning
Prophesee
Data Analyst
TECH
March 2024 - July 2024 (4 months)
Paris, France
• ● Development of Python functions for processing over 100,000 measurements from laboratory sensors.
• ● Creation of a visualization dashboard for monitoring and analyzing several dozen experiments.
• ● Code optimization and collaborative management on Git, reducing data processing time by 40%.
Python Data Analysis Data visualization