Freelancer profile translated to English.
Back to original languageAbout Floyd
Why choose me?
👨💻 Diversity of missions:
- End-to-end projects
- Data collection and ML model deployment
- Predictive modeling (machine learning, interpretability)
- Data engineering (ETL, pipelines, cloud infrastructure)
👉🏽 Michelin, Intermarché, Bricomarché, Matmut, Editions Lefebvre, AXA, Société Générale
👨🎓 My academic background:
- Generalist engineer fromMines de Nantes
- Double degreePolytechnique-HECin deeptech entrepreneurship (artificial intelligence)
- Master 2 fromParis Descartesin Mathematical and Statistical Engineering
🚀 Certifications:
- Microsoft DP-203 — AzureData Engineer Associate
- Databricks CertifiedData Engineer Associate
- Databricks CertifiedMachine Learning Associate
👨💼 Knowledge transfer:
My occasional interventions as ateacherhave allowed me to perfect my skills in popularization and knowledge transfer:
- Jedha Bootcamp, HETIC, YNOV LYON, Wf3, Doranco
My favorite topics
- Attribution Customer journey analysis
- Customer lifetime value (CLV)
- Customer retention / Churn
- Lead conversion
- Predictive analysis
- Segmentation
- Customer scoring
- Personalized targeting
- KPIs
- ROI optimization
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- MichelinData ScientistAUTOMOBILEMarch 2024 - May 2025 (1 year and 2 months)Paris, FranceManaged data use cases from specification to industrialization (Customer Data Platform, Azure Data Lake).- ETL pipelines for behavioral ingestion (Google Cloud Platform, Azure Data Factory)- AI modeling for customer lifecycle and scoring (Databricks, BigQuery)- Business acculturation on AI use cases
- Les Mousquetaires (Intermarché, Bricomarché)Data Science and PO ConsultantRETAIL (LARGE RETAILERS)March 2023 - September 2024 (1 year and 7 months)Paris, FranceResponsible for the scoping and deployment of a Customer Data Platform fed by an Azure Data Lake, dedicated to marketing activation and customer knowledge.- Data PO for data flow industrialization (70 flows)- Specification and validation of ML models for customer activation- Facilitated training sessions, wrote adoption processes- Objective achieved: automation equivalent to 4 FTEs saved
- YukitalksTeacher / TrainerEDUCATION AND E-LEARNINGJanuary 2023 - March 2023 (2 months)Paris, FranceOccasional lecturer in Data Science & Engineering (Python, ML, AI, pipelines, DevOps) for Ynov, HETIC, Jedha, WebForce3, Doranco schools.
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Education
- Engineering degree - Information technology project managementMines de Nantes2019Analyse décisionnelle, Business intelligence, Statistiques, Data Science, 📖🔖 Mémoire de fin d’études : L’optimisation du process de décision et la réduction des risques par le calcul de la probabilité de défaut (ou le scoring crédit)
- MSc X-HEC EntrepreneursPolytechnique & HEC2021Études entrepreneuriales, stratégie, financement des entreprises, 📖🔖 Projet de fin d'études : Rédaction d'un livre sur l'impact du freelancing sur le modèle du salariat