À propos de Wilson
Bienvenue sur mon profil !
Les entreprises investissent massivement dans la Data, la BI et les produits GenAI. Mon rôle ? Construire la couche analytique qui transforme ces investissements en décisions concrètes.
Fort de mon expérience auprès de leaders sectoriels (Sanofi, LVMH, Bouygues, Nestlé), j'interviens à la croisée de la Data technique, du Produit et du Business.
Récemment intégré à l'équipe GenAI de Sanofi, j'ai conçu la couche data et analytics derrière Concierge, un assistant conversationnel LLM déployé à l'échelle de l'entreprise. J'y pilote l'évaluation des LLMs, le monitoring des agents IA et l'analyse produit d'un système GenAI en production.
🎯 Ce que je vous apporte :
- GenAI & Product Analytics : Évaluation de LLMs, performance RAG, précision du routing d'agents, qualité des IA conversationnelles, observabilité IA.
- BI & Dataviz : Conception de tableaux de bord actionnables (Power BI, Tableau, Looker) orientés prise de décision — pas juste du reporting.
- Data Engineering : Pipelines ETL, analytics engineering, workflows SQL/Python robustes et scalables en production.
- Analyse Stratégique : Interface entre la donnée, les équipes produit IA et les parties prenantes business.
🛠️ Ma Stack Technique :
SQL | Python | Power BI | Tableau | Snowflake | GCP (BigQuery) | Dataiku | Looker Studio | LLM Evaluation | Prompt Engineering | RAG | AI Agents
💡 Mon approche :
Je combine expertise technique et vision produit. Je ne livre pas des chiffres bruts : je les traduis en recommandations claires et actionnables pour le Top Management.
Prêt à discuter de vos défis Data, BI ou GenAI ? Contactez-moi !
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km), Bordeaux (jusqu’à 50 km), Lyon (jusqu’à 50 km)
Expériences
- SanofiProduct Data AnalystSANTÉ & BIEN-ÊTREmai 2025 - Aujourd'hui (1 an et 1 mois)Paris, FranceMember of the core team building and operating Concierge, Sanofi's internal GenAI assistant — a multi-agent conversational AI platform connected to Microsoft Graph (email, calendar, org chart), ServiceNow, SharePoint, and specialized LLM agents (Clinical Studies, Digital Portfolio, Brand, Web, Support).As Data Analyst & Data Engineer, I own the data layer behind product decisions — measuring adoption, evaluating LLM response quality, and turning usage signals into roadmap inputs across product, CX, and engineering teams.What I do:
- LLM & AI Agent Evaluation — Designed frameworks to assess response quality, agent routing accuracy, hallucination rates, and RAG retrieval performance. Built scorecards for conversational AI quality and prompt engineering iterations.
- GenAI Product Analytics — Defined and tracked key metrics for an LLM-powered product: user engagement, feature adoption (notifications, rewards, prompts), conversation depth, retention, and behavioral cohorts to inform roadmap priorities.
- Data Engineering & Pipelines — Built and maintained ETL pipelines integrating multi-source data (Google Analytics, AmazonDB, telemetry, LLM logs) with automated QA, data quality frameworks, and AI observability layers ensuring reliable analytics in production.
- Real-time Dashboards & Monitoring — Deployed monitoring solutions (Power BI, Looker Studio) tracking product KPIs, agent performance, latency, and adoption — including AI-specific metrics (token usage, response time, agent success rate).
- Strategic Partnership — Acted as data partner to PMs, AI engineers, and CX teams, translating complex analytics into clear narratives and embedding data-driven thinking into agile cycles around a GenAI product.
Stack: Python · SQL · Power BI · Looker Studio · Google Analytics · AmazonDB · LLM evaluation · RAG · Prompt engineering · AI agents · Conversational AI · AI observability · ETL · Analytics engineering - BOUYGUES TELECOMSenior Data AnalystTÉLÉCOMMUNICATIONSoctobre 2024 - Aujourd'hui (1 an et 8 mois)Meudon, FranceEmpowered decision-making for over 50 stakeholders by deploying a modern data analytics ecosystem using Tableau Software, SQL, and Google Cloud Platform, ensuring data-driven insights were accessible and actionable across all levels of the organization.
- Spearheaded the design and refinement of interactive Tableau dashboards tailored to the needs of diverse teams, enabling stakeholders to identify trends, optimize performance, and align strategies efficiently
- Engineered and maintained scalable data solutions on Google Cloud Platform, creating a secure and flexible data infrastructure to adapt to evolving business priorities and support seamless access to insights
- Championed data reliability by introducing advanced quality assurance frameworks, ensuring consistent and trustworthy analytics outputs to guide strategic initiatives and day-to-day operations
- Collaborated closely with top management to perform deep-dive analyses of key metrics, translating complex datasets into strategic recommendations that supported growth plans and drove impactful decisions
- Nespresso FranceData Analyst B2BAGROALIMENTAIREseptembre 2023 - août 2024 (1 an)Issy-les-Moulineaux, FranceProvided data and insights to over 50 stakeholders, primarily in France and across the European zone, by building a robust analytics infrastructure that supported real-time decision-making and data trust across departments.
- Directed the creation and continuous optimization of PowerBI dashboards, leveraging advanced data visualization techniques to provide actionable insights to both local and international teams, enhancing decision-making processes across regions
- Designed and maintained complex databases, establishing robust data architecture to support evolving business needs and facilitate efficient data access for stakeholders
- Led data trust initiatives by implementing rigorous quality assurance processes to ensure the accuracy and reliability of data, enabling precise analyses that inform critical business decisions
- Conducted in-depth strategic analyses of customer data in collaboration with top management, utilizing insights to develop growth strategies and refine cross-regional initiatives in alignment with broader organizational goals
Avis
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Formations
- Master Grande ÉcoleNEOMA BS2020Spécialisation Marketing Digital
Certifications
- Hands-On Essentials: Data Warehousing WorkshopSnowflake2024