Julie Pedeches

Julie Pedeches has worked for seven companies in the past nine years. In 2011, they held a summer internship at Proxiad. The following year, they held a summer internship at DeriveXperts. From 2013 to 2016, they worked at HSBC, first as an Internship, and then as a Market Risk Control - Rates. In 2015, they worked at DeriveXperts again, this time as a Pricing Engineer / Quantitative developer. From 2016 to 2017, they worked at Webranz Limited as a Business Analytics Consultant. From 2017 to 2019, they worked at Autogrow as a Lead Data Scientist, where they were responsible for topic modelling with NLP and LDA, as well as time series forecasting with NN, MLP, and LSTM. Finally, they have been working at both Insite AI and Quantiful since 2019, as a Senior Data Scientist.

Julie Pedeches completed their Classe Préparatoire aux Grandes Ecoles (MPSI - MP option informatique) at Lycée Fermat from 2008 to 2010. Julie then went on to pursue a Master's degree, equivalent to the US master of Science in Engineering, at ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise from 2010 to 2013. In addition, they obtained a Master in Mathematical Engineering with a specialization in Finance from Université d'Évry in 2013, and a Master from Alma Mater Studiorum – Università di Bologna in Quantitative Finance in 2013. In 2020, they obtained a Deep Learning Specialization from Coursera and in 2022, they obtained a Machine Learning Engineering for Production (MLOps) from Coursera.