About Joos
As a data scientist, my work has a strong focus on Machine Learning. I love working on the implementation of Machine Learning for delivering and deploying features or products.
Examples that I've worked on at Disneyland Paris are the development of a forecasting web app, the implementation of a recommender engine, and a tool for simulating different ways of staffing using genetic algorithms. I have also implemented numerous 'innovation' topics, including tracking visitors using geodata and using NLP for monitoring Guest Voice.
The tools I use most at the moment are Python and its Machine Learning packages, AWS, Snowflake, and Git.
French
Native or bilingual
English
Native or bilingual
Dutch
Native or bilingual
Remote only
Primarily works remotely
Experience
- AXA Group OperationsLead Machine Learning EngineerBANKING AND INSURANCEMarch 2022 - Today (4 years and 3 months)Paris, France
- Disneyland ParisLead Machine Learning EngineerHOSPITALITYMay 2018 - Today (8 years and 1 month)Paris, FrancePlusiers projets forecasting / prévision avec des modèles statistiques et machine learning. Création et mise à jour des bases de données (SQL), modélisation et automatisation des mises à jour (R, Python), développement des interfaces utilisateurs (ea R Shiny).
- Groupe BELData ScientistAGRICULTUREApril 2017 - December 2017 (8 months)Vendôme, FranceDéveloppement d'un algorithme sous Python pour faire de la Data Science en Industrie. La problématique centrale était de traiter les données des capteurs de l'usine (concaténer des séries temporelles irrégulières stockées séparément) pour les préparer pour de la modélisation statistique avec des algorithmes de machine learning.
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Education
- MSc Applied Data Science & Big DataData ScienceTech Institute2017Data Science, Machine Learning, programmation R, Cloud Computing, Systèmes d'Information, Hadoop.
- MSc Forest and Nature ConservationWageningen University2015Ecologie et modélisation statistique.
Certifications
- AWS Certified Solutions Architect - AssociateAWS
- SAS certified Predictive Modeler using SAS Enterprise MinerSAS