Paul Mochkovitch

Paul Mochkovitch has a strong background in data and analytics. Paul currently holds the position of VP Data & Content at Le Wagon since February 2023. Prior to this role, they served as the VP Education at Le Wagon from June 2022 to February 2023.

Before joining Le Wagon, Paul was the Co-Founder of Emil, a remote data analysis training program. Paul started this role in July 2020 and is still currently involved.

Paul also worked as a Data Science Instructor at Jedha Bootcamp from September 2019 to July 2020, where they presumably taught and guided students in data science.

In their earlier experiences, Paul held positions as a Lead Data Scientist and Data Scientist at Shapr from February 2019 to March 2020 and from February 2018 to February 2019, respectively. Paul also worked as a Data Product Manager and Data Scientist at Adomik from June 2017 to February 2018 and from January 2016 to June 2017, respectively. Paul started their career as a Data Scientist Intern at Adomik from July 2015 to December 2015.

Before diving into the data industry, Paul gained experience in various roles including a project in a company at Ezakus from December 2014 to July 2015, a Junior Consultant at Ekimetrics from February 2014 to July 2014, and a Structurer Intern at UBS Investment Bank from July 2013 to December 2013. Paul also worked on a project at Société Générale from March 2013 to June 2013.

Paul started their career with an internship in research computing at UPMC - Sorbonne Universities from April 2012 to July 2012.

Paul Mochkovitch has a diverse education history. Paul obtained a Master Spécialisé in Big Data from Télécom Paris in 2014-2015. Prior to that, they completed their degree in Ingénieur in Science économie gestion et finance from Ecole des Ponts ParisTech from 2011 to 2015. Paul also holds a Licence de mathématiques appliquées et informatique from Université Paris Dauphine - PSL, which they completed from 2008 to 2011. Paul'sfield of study throughout their education has been focused on Data Science, Applied Mathematics, and Economics.