Daniel Silva
About Daniel Silva
Daniel Silva serves as the Leader of Functional Analysis and Specifications at Sopra Banking Software in Clermont-Ferrand, France, where he has worked since 2020. He has a diverse background in business intelligence and data analysis, with previous roles at Michelin, Nestlé Skin Health, and SOITEC.
Work at Sopra Banking Software
Daniel Silva has been serving as the Leader Analyse Fonctionnelle & Spécifications at Sopra Banking Software since 2020. In this role, he is responsible for leading functional analysis and specifications, contributing to the development and integration of banking software solutions. His position is based in Clermont-Ferrand, Auvergne-Rhône-Alpes, France, where he has accumulated four years of experience in this capacity.
Previous Experience in Business Intelligence
Prior to his current role, Silva held various positions in business intelligence across multiple organizations. He worked at Nestlé Skin Health as a Consultant Business Intelligence for one month in 2011. He also spent five years at Michelin as a Consultant Business Intelligence from 2011 to 2016, followed by another year in a similar role from 2017 to 2018. Additionally, he served as an Analyste Métier at Michelin from 2018 to 2020. His experience includes a brief stint at SOITEC and GROUPE MACIF in business intelligence roles.
Educational Background
Daniel Silva studied at IUT - Mesures Physiques Clermont-Ferrand, where he achieved a DUT de Mesures Physiques from 1989 to 1990. He furthered his education at Ecole Nationale Supérieure d'Ingénieurs Sud Alsace ENSISA, obtaining an Ingénieur ESSAIM degree in Automatique et Informatique Industrielle - Logiciels des Systèmes Industriels from 1990 to 1993. This educational foundation has equipped him with the technical skills necessary for his career in data science and business intelligence.
Expertise in Data Science and AI
Silva possesses a deep interest in the application of operational data through statistical tools, algorithms, and analytical models. His career focus is on data science and artificial intelligence, with an aim to leverage these fields for professional growth. He has extensive experience in integrating core banking software solutions, specifically related to the sab* AT project interfaces, highlighting his technical proficiency in the field.