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Victor Barrera Núñez is an experienced Data Scientist with Master and PhD studies with particular focus on decision making processes based on data analysis. He possesses strong skills in applying statistics, artificial intelligence and data mining in large databases and warehouses, specifically applied in areas of revenue management, efficiency/productivity improvement and extraction of meaningful insights.
He currently performs as Chief Data Officer at AXA México, where he is carrying out the implementation of data analysis principles and solutions, through multivariate statistical theory and artificial intelligence techniques for revenue growth. He has vast experience explaining analytical and insightful results to peers in areas not necessarily related to statistics or mathematical models, such as marketing, logistic and production.
His ultimate goal at AXA México is convert the company into a data-driven organisation, by following 3 simple principles: a global data function, a single source of the truth and optimised data processes.
Rodrigo Aguilar is a mathematician and an early Big Data Science and Analytics advocate. His skills consist of finding the best way to adapt and adopt new technologies and paradigms such as blockchain and open knowledge in business strategies.
In his professional career, he has helped companies to extract valuable insights from data and since he is working in PwC Mexico. As a Senior Manager of the Data Analytics practice, he has built and consolidated the team and designed consultive products and offer for the specific needs of the Mexican market, catering for it's analytical and digital maturity level.
One of his main goals is to use the power of Big Data Analytics to build a better world for everyone, optimising and applying the collective knowledge to the IoT-AI-nano-bots-blockchain-space-travels place where we will live in.
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