Freelancer profile translated to English.

Description

General engineer by training (X-Mines), my approach is imbued with structure, rigor, and efficiency. Curious, I enjoy deeply understanding the technical details of the subjects I work on. In particular, I enjoy reading and implementing the latest research papers on artificial intelligence models.

For **over 10 years**, I have managed dozens of projects, both internally and with clients. My project management method is not limited to writing slides describing the broad outlines of the strategy to follow: I often provide technical solutions to achieve the set objectives.

For **over 5 years**, I have been exclusively dedicated to data, machine learning, and artificial intelligence projects. With a hybrid profile (technical/functional), I am looking for missions such as:

Definition of Data & AI strategy and roadmap
Coordination of technical profiles (data scientists, engineers, etc.) in AI projects
Implementation of innovative solutions, particularly in generative AI

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Spanish
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

Datafluence
Data & AI Product | Machine Learning | Data Strategy
CONSULTING AND AUDITS
September 2020 - Today (5 years and 11 months)
Paris, France
I support organizations in the design, implementation, and scaling of high-impact business Data & AI strategies.

My goal: to transform data, machine learning, and generative artificial intelligence into concrete levers for performance and innovation, far beyond simple Proofs of Concept (POC).

I work across the entire Data & AI value chain, from strategic thinking to production deployment:

Data & AI Strategy
• Assessment of data maturity, definition of target vision, and construction of operational AI roadmaps.
• Identification and prioritization of use cases with high performance impact.
• Support for business and IT management on governance, organization, and tool selection.

Data Science & Machine Learning
• Design and deployment of machine learning models.
• Development of data architectures.
• Performance monitoring, evaluation, and continuous improvement of models.

Generative AI & Agentic Systems
• Development of intelligent multi-agent systems capable of reasoning, planning, and collaborating.
• Integration of LLM-based solutions to automate processes, improve decision-making, and create new digital experiences.
• Utilization of frameworks to design robust, production-deployable AI applications.
Machine learning Data Science SQL AI Agents Data Product Management
E.Leclerc
Data & AI Product Manager
RETAIL (LARGE RETAILERS)
April 2021 - December 2025 (4 years and 8 months)
Ivry-sur-Seine, France
Ownership of cloud data applications (collection, transformation, quality, security, compliance)
Definition and deployment of roadmaps in collaboration with business, tech, and data teams.
Data governance and definition of roles and responsibilities for data owners.
Specification of user stories, technical documentation, feedback loops, and continuous product improvement.

Data Platform & Retail KPIs
Management of the migration of internal applications (sales, inventory, orders) to the new GCP cloud platform and definition of success criteria (data reliability, discrepancy control, user support).
Definition and management of platform monitoring, with scheduled executions and alerting to ensure proper data flow reception, data goldenization, and indicator quality according to business criteria.
Creation of data governance standards for the new cloud platform: definition of business objects, identification of data owners, implementation of personal data anonymization processes.
Technical specification of data collection and transformation pipelines on GCP, feeding reliable and exploitable retail business KPIs for analytics and AI use cases.
Management of data product development for various use cases: Click & Collect, Service Rate, Stockouts, etc.

ML & AI Products
Product reference data qualification: development of a hierarchical classification system for product labels into predefined categories using an LLM.
Customer knowledge: design of a customer segmentation model (unsupervised clustering) and a product recommendation system for personalized promotional campaign targeting.
Product knowledge: development of a RAG + TextToSQL AI assistant for product information extraction and retail indicator analysis.
Retail AI Product Management SQL Google Cloud Jira/Confluence
Hello Market
Data Engineer & Analyst
RETAIL (LARGE RETAILERS)
September 2020 - March 2021 (6 months)
Saint-Ouen, France
Scoping business needs with market managers and category managers: definition and documentation of available data, specification of KPIs and their calculation methods, definition of expectations for dashboards and features to be delivered.
Industrialization of data collection and transformation pipelines: specification of API calls to be made at the desired frequency, development of ETL pipelines in production.
Delivery of Power BI dashboards: specification of the data source, data freshness level, and specific components to be displayed on Power BI.
Databricks Microsoft Azure Power BI Azure Data Factory Delta Lake