Arnaud C.

Arnaud C. has a diverse work experience spanning various industries and roles. Currently, they are working at Adikteev as a Lead Data Scientist, where they have improved the existing pricing model and researched bid shading approaches to optimize advertising campaigns. Prior to that, Arnaud was a Teaching Assistant at ENSTA Paris.

Arnaud also has extensive experience at SNCF, where they served as a Senior Data Scientist at the Big Data & AI Factory of ITNOVEM. In this role, they developed a cloud-based purchase decision-making tool for spare part supply chain optimization. Arnaud was responsible for identifying influential variables and utilizing hypothesis testing and correlations.

At SNCF Réseau, Arnaud was the Manager of the Mechanical Modeling and Simulation team. Arnaud managed a team of 6 engineers and was responsible for deliverable validations. Before that, they worked as a Mechanical Modeling and Simulation Engineer in the electric traction department, where they certified overhead contact lines and suggested line renewal prioritization.

During their early career, Arnaud worked as a Trainee Mechanical Engineer at NEXTER SYSTEMS, where they designed mechanical and electrical systems for drones, including patent registering for one of the solutions. Arnaud also gained research experience as a Trainee Research Assistant at The University of Auckland and worked as a Trainee Delivery Man at Gianni's Café.

Arnaud C. completed their Master of Engineering (MEng) degree in General Engineering from ENSTA Paris, from 2011 to 2014. Additionally, they obtained certifications in Operations Research (3): Theory from Coursera in September 2022, Deep Learning Specialization from Coursera in January 2021, Discrete Optimization from Coursera in June 2020, and Machine Learning from Coursera in December 2019.