About Yannick
English
Native or bilingual
Experience
- Crédit Agricole SAData scientist / Python developerBANKING AND INSURANCEMay 2023 - Today (3 years and 1 month)Paris, Franceimplementation of a module for calculating liquidity risk indicators (DCC, LCR, NSFR)- analysis of sources and data quality, data dictionary,- exploratory analysis and data visualization- implementation of liquidity risk indicator calculations for different scenarios and entities of Crédit Agricole, collaborative work and document of the module
- wyndData / AI ExpertLOGISTICS AND SUPPLY CHAINMarch 2022 - May 2023 (1 year and 2 months)Paris, FranceData and AI consulting for Wynd, Startup of the Next 40 (fundraising of more than 110 million) focused on cashing and managing the order life cycle, omnichannel stock management and product picking logistics (retail, ecommerce, marketing):-map and structure the data, set up the measurement of data quality and dashboards, improve data quality-expression of needs, specifications, tests,- implementation of ML models for pricing and forecasting orders and canceled appointments, customer segmentation for marketing, automatic classification of consumer goods from data (images, text, tabular data), picking (substitution of products), order orchestration
- SIMPLON.COLead AI Trainer and Data / AI ConsultantEDUCATION AND E-LEARNINGJune 2021 - November 2021 (6 months)Training data scientists and consulting/implementing projects with companies on data aspects: NLP, Computer Visio, Machine Learning, Deployment of models in production- Supporting learners on company-oriented projects- Training companies on data science & AI aspects- Managing the relationship with companies, selecting company projects- data consulting and monitoring of AI projects (computer vision, text processing) with Michelin, Braincube, Logiroad, Apside, Exaltis
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Education
- EngineerEcole Centrale2010Option Mathématiques Appliquées
- Master 2 Finance , Economie et Data ScienceUniversité Paris Dauphine / Université Panthéon-Assas 22011Ce master est l'équivalent de la première année de doctorat en data science