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Samuel Amoyal is a Data Engineer at Groupe Crédit Agricole since July 2023, focusing on technical responsibilities for a market abuse tool migration project. Previously, Samuel served as a Data Consultant and Data Scientist at Objectware, supporting Crédit Agricole S.A. and worked as a Data Scientist at Ecov, where contributions included data extraction, statistical analysis, and predictive modeling. Samuel has also worked with Groupe SII, developing algorithms for a chatbot using NLP and Deep Learning, and at Thales, engaging in various data exploration projects involving client feedback analysis and predictive algorithms. Samuel holds a Master 2 in Data Science and a Master 1 in Mathematical Statistics and Probability from Université Paris-Saclay, along with a bachelor's degree in Mathematics from Université de Montréal and Paris-Sud University.