Matthias Lemainque
About Matthias Lemainque
Matthias Lemainque is a Senior Data Scientist currently working at ManoMano, with a background in data science and machine learning in the aeronautics sector. He has held various roles at notable companies including CS Group and MEDitSIMPLE, and has a degree from CentraleSupélec.
Current Role at ManoMano
Matthias Lemainque serves as a Senior Data Scientist at ManoMano, a position he has held since 2022. In this role, he applies his expertise in data science to support the company's objectives. His responsibilities include analyzing data, developing models, and contributing to data-driven decision-making processes within the organization.
Previous Experience in Data Science
Before joining ManoMano, Matthias Lemainque worked at CS GROUP from 2017 to 2022. He held various roles, including Data Scientist and Lead Machine Learning Engineer, primarily focused on projects for Airbus. His work involved leading a team of 10 collaborators on machine learning and big data pipelines in the aeronautics sector. He also assisted commercial teams in defining data science offerings.
Early Career and Development
Matthias Lemainque began his career with various internships and roles in development and engineering. He worked as a Full Stack Developer at MEDitSIMPLE in London for one year and as a Developer Designer at Paris Digital Lab. He also gained experience as a Developer intern at Konvergence Business & Technologies and as a Consultant Developer at Junior Enterprise.
Educational Background
Matthias Lemainque studied at CentraleSupélec, where he achieved a Diplôme d'ingénieur from 2013 to 2017. Prior to this, he completed intensive preparation courses in Physics and Engineering Sciences at Condorcet College, Paris, from 2011 to 2013. His education provided a strong foundation in engineering principles and data analysis.
Professional Development and Leadership
During his tenure at CS GROUP, Matthias specialized in temporal data analysis within the aeronautics industry. He demonstrated leadership skills by managing a team and contributing to significant projects. His role involved not only technical expertise but also collaboration with commercial teams to enhance data science offerings.