Arthur Guillemassé

Arthur Guillemassé has a diverse work experience in data science and management roles. In 2013, they worked as a Stage Ouvrier at Indiaction for a brief period. In 2016, they did a data science internship at METEO FRANCE, where they implemented Machine Learning methods for cloudiness prediction using the Scikit Learn library. In 2017, Arthur worked as a Data Science intern at CLS Group, focusing on machine learning algorithms for satellite tracking of fishing boats. From 2018 to 2020, they worked at Wefight as a Data Scientist, developing NLP algorithms for a healthcare chatbot and creating data collection, processing, and visualization systems. Arthur then progressed to the role of Head of Data, managing a team and overseeing projects including language comprehension algorithms, ETL systems, data visualization, and automation for real-world studies.

Arthur Guillemassé completed their secondary education at Lycée Polyvalent Victor Hugo Gaillac from 2009 to 2012, where they obtained a Baccalauréat in the scientific field. Arthur then pursued higher education at Institut national des Sciences appliquées de Toulouse from 2012 to 2017. During this time, they studied Génie Mathématique et Modélisation, with a specialization in Modélisation Statistique. In 2014 to 2015, Arthur furthered their education by attending The University of Texas at Austin, focusing on UT Mathematics.