À propos de Baptiste
PhD in Computer Science (Machine Learning & Graph Theory) with 10 years of professional experience in academic research (LIP6, IMT, NII, IRIT), startups (Preligens, Mindee, Mooncard), and large corporations (Givaudan International, La Poste Group, Le Figaro, Société Générale Factoring, Dior, LVMH, Essilor). As a Scientific & Technical Expert, I work closely with your teams across all stages of a data project—from exploratory analysis to production deployment—to address your company’s strategic and business challenges.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris 3e Arrondissement (jusqu’à 50 km)
Expériences
- GIVAUDANData scientistINDUSTRIE MATIÈRES PREMIÈRESoctobre 2023 - Aujourd'hui (2 ans et 7 mois)Argenteuil, FranceWithin the Data & Analytics teams of the Digital Innovation IT department for Givaudan's business solutions:● Led development, testing, deployment, and support of a search engine (data pipelines and API services) used by Fragrance & Beauty (F&B) sales teams in opportunity management workflows. Enhanced the existing language model with a recommendation engine for identifying high-performance fragrance matches.● Developed consumer preference models for perfumer decision-making in Fine Fragrance. Processed consumer test data, commercial/sales data, and multiple mathematical fragrance representations (ingredients/odors, chemical/molecularstructures). Applied Bayesian modeling/generative models, graph networks/hierarchical models. Built a web application for interactive results visualization.● Technologies: Dataiku, PostgreSQL, Snowflake, Python, PyMC, Keras, TensorFlow, Scikit-learn, Dash. Tools: Control-M, Talend, GitLab, Grafana, JobReq, Jira/Confluence. Architecture: API development, ETL pipelines.
- La Poste BGPN-DSIData Scientist / Data AnalystSECTEUR PUBLIC & COLLECTIVITÉSnovembre 2022 - décembre 2023 (1 an)Issy-les-Moulineaux, FranceWithin the Data & Analytics team of the Data Department (BGPN division):● For Marketing/Sales Leadership: developed automated reporting tools for business performance monitoring and KPI analysis. Consolidated and standardized omnichannel data (email, mail, phone, agency)● For IT Department (DSI): built governance/compliance tools (web apps, reports) to streamline migration of Group-wide Dataiku projects (1,800+ projects). Applied graph theory for dependency mapping and project visualization.● Technologies: Dataiku, Tableau, Python, NetworkX, Dash. Data Infrastructure: Hue, Dremio, Hadoop, HDFS
- MooncardData scientistBANQUE & ASSURANCESjuin 2022 - Aujourd'hui (4 ans)Paris, France● Fuel data governance lead. Oversaw all fuel data governance initiatives (Identified and integrated new data sources, automated data pipeline workflows, designed data architecture and modeling standards, ensured data quality and access control).● Risk modeling specialist. Developed anomaly detection models for fuel expenses based on price fluctuations, mileage patterns, fuel volume discrepancies.● Technical delivery. Built APIs and automated reporting systems.● Conducted ad-hoc data analysis for product and business teams● Tech Stack: Python, Snowflake, GitHub CI/CD, Heroku, Airflow, Postman, Tableau
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Formations
- Doctorat Informatique Apprentissage automatiqueInstitut de Recherche en Informatique de Toulouse2017Apprentissage statistique (machine learning) et théorie des graphes
- Master Intelligence Artificielle et DécisionUniversité Pierre et Marie Curie (Paris 6)2013Apprentissage statistique