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R&D Engineer — Ellistat

Control of industrial production systems by integrating statistical, linear and non-linear optimization algorithms with Machine Learning algorithms. Development of a system to automate the machining of industrial parts using data from CAD/CAM models in order to digitize the entire manufacturing process from design to mass production. Definition of a model and standard for transferring CAD/CAM data Development of a model for calculating correctors Development of software components (JavaScript, React, Meteor, MongoDB, NoSQL)

PhD in Industrial Engineering — Arts et Métiers Metz

As part of an Industrial Research Chair with SMEs and big corporations such as Thyssenkrupp and CLAAS, my goal is to develop a methodology and a tool to: •Optimize non-productive times (downtime, for example) using Lean methods, modeling and simulation •Efficiently plan and schedule operating times, reconfiguration time, maintenance and break times. •Develop a multi-criteria decision-making tool

R&D Intern — Arts et Métiers Labs - I2M-IMC

Text Mining & Data Mining, Case studies, Assisting in the launch of a start-up company specialized in analyzing and studying patents

Maintenance Engineer Intern — OCP group

Statistics - Analysis - Maintenance - Mining

Lean Management Engineer Intern — OCP group

Lean Management - Statistics - Maintenance - Teamwork