Pauline Chavallard
About Pauline Chavallard
Pauline Chavallard is a Data Science Manager and Senior Machine Learning Engineer with a strong academic background in applied mathematics. She has extensive experience in data science roles and actively contributes to the Natural Language Processing community in Paris.
Current Role at Doctrine
Pauline Chavallard serves as a Data Science Manager and Senior Machine Learning Engineer at Doctrine. She has held this position since 2017, contributing to the company's data-driven initiatives in Paris. Her role involves overseeing data science projects and implementing machine learning solutions to enhance operational efficiency.
Previous Experience in Data Science
Prior to her current role, Pauline worked as a Data Scientist at Canal+ from 2014 to 2016, where she applied her expertise in data analysis and machine learning. She also gained experience as a Data Scientist at Shift Technology for one year in 2016-2017. Additionally, she completed an internship as a Data Analyst at My Little Paris in 2013.
Educational Background
Pauline Chavallard studied Applied Mathematics at CentraleSupélec, achieving a degree from 2010 to 2014. She furthered her education at École Normale Supérieure Paris-Saclay, where she completed a Master 2 in Mathématiques Vision Apprentissage from 2013 to 2014. Her foundational studies include MPSI/MP* at Lycée du Parc from 2008 to 2010.
NLP Meetup Organization
Since 2018, Pauline co-organizes a Natural Language Processing (NLP) meetup in Paris, which has grown to a community of approximately 4000 members. The meetup occurs every two months and focuses on discussions surrounding traditional and modern NLP methodologies, including machine learning and deep learning techniques.
Internship Experience
Pauline's early career included an internship as a Research and Development Engineer at Fives from 2012 to 2013, where she gained practical experience in engineering. This internship complemented her academic studies and provided her with foundational skills in research and development.