Freelancer profile translated to English.
Back to original languageAbout François
Data expert for over 15 years, I assist you in defining and implementing your data strategy: from data collection to exploitation.
- Identification of high value-added data and AI use cases.
- Roadmap prioritization.
- Data platform architecture and tool selection
- Governance
- Staffing
- Training your teams on data and AI challenges
I can also assist you in carrying out complex data studies (segmentation, scoring, churn studies, lifetime value, etc).
Highly versatile, I adapt to all sizes of organizations (experience in start-ups, mid-sized companies, and large corporations)
French
Native or bilingual
English
Fluent
Can work on-site
Lille (up to 50km)
Experience
- FourseedsChief Technical Officer Data AICONSULTING AND AUDITSApril 2026 - Today (4 months)La Madeleine, FranceStructuring and leading the development team. (8 developers)Technical roadmap management for the Customer Data Platform. (technical debt management, infrastructure migration, functional evolutions)Development of the AI support offering (training, agent development, MCP)
- Association HozanaData ManagerHEALTH AND WELLNESSFebruary 2022 - Today (4 years and 6 months)Lyon, France
- Data stack & infrastructure: Design and deployment of the end-to-end data stack (ingestion, dbt transformation, BI) from heterogeneous sources (MySQL, GSheets, third-party APIs)
- Growth analytics: Ownership of the AARRR funnel (Acquisition, Activation, Retention, Revenue, Referral) — definition of north star metrics, construction of steering dashboards
- LTV & unit economics: Donor Lifetime Value modeling and profitability analysis by acquisition channel
- Product data science: Development of a donation propensity model to reduce marketing pressure and optimize mailing costs (direct mail campaigns)
- Experimentation: Implementation of an A/B testing culture on product features and conversion funnels (donation forms)
- Data culture dissemination: Team training and data/AI culture evangelization throughout the organization
- OneyData Science ManagerBANKING AND INSURANCESeptember 2021 - February 2022 (5 months)Croix, France
- Ownership of acceptance scores throughout their lifecycle (design, development, validation, backtesting) — credit risk, marketing, and fraud detection scope
- Management of the data science team (6 people)
- Leading the development of an innovative score based on open banking data, integrating new behavioral sources to enrich risk assessment
- Definition and prioritization of the risk department's data roadmap
- Data & AI evangelization: leading simplification sessions on technical topics (machine learning, scoring, open banking) for business teams
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Education
- DEA, Automatic and Industrial ComputingUniversité Lille I2004DEA, Automatique et informatique industrielle
- Advanced Engineering Studies Industrial ComputingHEI2004Hautes Etudes d'Ingénieur Informatique Industrielle
Certifications
- Certificate "Creating Value with Data and AI"EDHEC2025
- Data ScientistENSAE Continuing Education2015
