David Faria

David Faria has a diverse work experience in the field of data science and analytics. David is currently serving as the Head of Data Science at bops, an inventory intelligence platform that provides supply chain visibility and continuous insights. Prior to this, David worked at Safran as the Head Data Scientist and Lead Data Scientist in the Manufacturing Team, where they played a crucial role in transforming the organization through data. David also worked as a Data Scientist at Safran Analytics, where they focused on optimizing products, services, and processes through data exploitation. Before joining Safran, David worked as a Data Analyst Consultant at Equancy, where they assisted world-class clients such as Disneyland Paris and Michelin in retrieving actionable insights from their data. David began their career as a Junior Data Miner at Ubisoft, where their responsibilities included analyzing large datasets, customer profiling, and building predictive models.

David Faria completed their bachelor's degree in Electrical and Electronics Engineering from Universidad Simón Bolívar. David attended from 2007 to 2013.

David then pursued a master's degree in Data Analysis and Pattern Classification from Telecom SudParis from 2011 to 2013.

David also obtained a master's degree in TRIED - Traitement de l'Information et Exploitation de Données from UVSQ Université de Versailles Saint-Quentin-en-Yvelines in 2013.

Furthermore, they achieved various certifications from Coursera, including "Introduction to Recommender Systems" in November 2015, "Learning How to Learn: Powerful mental tools to help you master tough subjects" in September 2015, "Exploratory Data Analysis" and "Getting and Cleaning Data" in September 2014, "Introduction à la programmation orientée objet (en C++)" in April 2014, and "Computing for Data Analysis" in February 2014.