Adrien Rimélé has work experience as a Data Scientist at IVADO Labs since September 2021. Prior to this, they worked as a Research assistant and Teaching assistant at Polytechnique Montréal from September 2017 to August 2021 and from January 2019 to April 2021, respectively. Adrien also served as a Research intern at Element AI, a ServiceNow company, from February 2019 to July 2020, and as a Research intern at JDA Software from September 2017 to October 2018. Adrien Rimélé has additional experience as a Research assistant at McGill University from April 2015 to August 2017, and as an Engineer assistant intern at BRGM in June 2014 to August 2014.
Adrien Rimélé began their education at Lycée Charles De Gaulle, where they obtained a Baccalauréat Scientifique in 2010 with a focus on sciences, including mathematics, physics, and biology. Adrien then attended CPGE Lycée Thiers from 2010 to 2012, specializing in mathematics and physics during their Classes préparatoires MPSI, MP* program.
In 2012, Adrien enrolled at Ecole Nationale Supérieure des Mines de Nancy, where they pursued a Master of Engineering (MEng) degree in Engineering. Adrien completed this program in 2016.
Continuing their educational journey, Adrien then joined Polytechnique Montréal, where they obtained a Master of Applied Science (MASc) degree in Applied Mathematics from 2014 to 2016. Following this, they pursued a Ph.D. in Mathematics at the same institution from 2017 to 2021.
Adrien also acquired additional certifications to enhance their skills. In 2014, they obtained the DELE (Spanish certification) level B2 from Instituto Cervantes. In 2014, they also received the IETLS (English certification) level C1 from the British Council.
In 2021, Adrien further expanded their skillset by completing the Google IT Automation with Python Professional Certificate from Coursera. Additionally, they obtained The Complete Pandas Bootcamp 2021: Data Science with Python certification from Udemy.
These educational accomplishments demonstrate Adrien Rimélé's strong foundation in mathematics, engineering, and data science, as well as their commitment to continuous learning and professional development.
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