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Quentin M. has a diverse work experience in data science and analysis. Quentin started their career at Cannes's hospital as a Stretcher Bearer in 2016. In 2019, they worked as a Data Analyst at Cannes city hall for a short period. From 2020 to 2021, Quentin worked as a Data Scientist/Analyst at the Ministry of the Sea, where they worked on various statistical and data visualization projects related to the French fleet. In 2020, they also worked as a Biostatistician at the ENT office, where they developed a predictive risk model for sinus and nasal cavity cancers. In 2021, Quentin joined Dalkia as a Data Scientist, where they were the lead data scientist on their project, working mainly in Python and implementing PU Learning methods for time series classification. Currently, they are working at Evaneos as a Data Analyst, utilizing their statistics skills to help the B2C teams in enhancing website traffic and implementing rigorous AB testing experiments. Quentin is also providing support to the CRM and brand teams in working with data.

Quentin M. completed their education with an Engineering degree in Statistics from ENSAE Paris, which they pursued from 2018 to 2021. Prior to this, they studied at Lycée Masséna from 2016 to 2018, focusing on Mathematics, Economy, and Philosophy in the Preparatory class for the Grandes Ecoles - Economic track, scientific option. Quentin also obtained a Diplôme du Baccalauréat Scientifique option Science de l'ingénieur from the Ministère de l'Éducation nationale et de la Jeunesse in 2016.