Freelancer profile translated to English.
Back to original languageAbout Jean-Philippe
The solutions to your technical problems are in your data. I help you find them using methods based on Data Science and Artificial Intelligence.
To do this, I can rely on two sets of skills:
- my Data Scientist training, which is a toolbox that includes Data Analysis and Machine Learning in particular. They are very effective in solving problems.
- 20 years of experience in industry as a mechanical engineer in various fields: from Design Office to Manufacturing, from automotive to energy... Indeed, manipulating data is not limited to building dashboards and models. It is essential to understand the indicators on which we are working in order to be able to take a step back and find the hidden information.
French
Native or bilingual
English
Fluent
Can work on-site
Belfort (up to 50km)
Experience
- Data XploreFounderApril 2021 - Today (5 years and 2 months)Belfort, Bourgogne-Franche-Comté, France
- Emerald Operating PartnersData ScientistMay 2021 - Today (5 years and 1 month)
- GE PowerManufacturing Engineering ManagerJune 2014 - January 2020 (5 years and 7 months)BelfortHead of the Methods team on a gas turbine rotor manufacturing line. Composed of about twenty people (workers, technicians, and engineers), this team is responsible for implementing the rotor manufacturing processes (machining and assembly). Main responsibilities: - Daily team management - Coordination of industrialization schedules - Definition and management of the manufacturing line's operating budget (several million euros per year).
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Education
- Artificial Intelligence EngineerOpenClassrooms2021
- Data Scientist Designer / DeveloperJedha Bootcamp2020Compétences acquises : - Programmer en Python - Interroger des bases de données avec SQL - Visualiser des données à l'aide de librairies Python ou d'outils type Tableau - Identifier des relations entre variables et modéliser des phénomènes via des outils de Machine Learning - Traiter des images ou du texte en utilisant des modèles de Deep Learning - Déployer des modèles dans le Cloud grâce à Flask, Spark et Amazon Web Services.