Mathieu L.

As part of the innovation department I am in charge of implementing data & machine learning oriented solutions to apps related to industry 4.0 & predictive maintenance.

Multiple Missions for Airbus, Skywise & BPCE group: Aerospace and banking industry. 2023:

- BPCE-Caisse D'Epargne: Projects involving Machine learning associated to finding a sample of new customers to contact for possible new loans related to real estate investment and energy consumption reduction. (Machine Learning, Model Deployment, Interpretability) Airbus:

- Data Pipeline development related to Flight Radar 24 and Machine Learning/ NLP activities 2022: Airbus: Hamburg: development of an algorithm for classifying Design query notes (Machine Learning, MLOps) Airbus Procurement: Innovation: AI for Good: series of POCs of POCS definition related to resilience: AI for Supply chain disruptions (shortages, human rights issues, forced labor), Finding potential new suppliers and knowledge management. Airbus Toulouse: Analysis and development of a classification algorithm(NLP) in order to replace/assist human generated classification.(Machine Learning, Interpretability) Flight Radar 24 subject: pipeline able to complete missing information in the database such as flight duration and feeding a Skywise Business Object. Alten: Bots and algorithm development for data scrapping to be used in a Power BI dashboard 2021 : Skywise: as part of Team42 participate in the development of Skywise application (mostly data pipeline using pyspark) and DevOps method (monitoring, unit tests...)

Multiple Missions for Nissan, Renault and Stellantis Objective: Ensure the quality of the vehicle white body

- Improved tools for Statistical Process control

- Data analysis and visualization

- understanding of GD&T

- involved in production ramp-up

- responsible for final vehicle quality