Pablo is a Senior Data Scientist, who has worked for McKinsey for 4 years after obtaining his PhD in Mathematics. In 2017 he founded his own company focused on Advance Analytics, Big Data and Machine Learning, Canalyticals.
He is a specialist in mathematical modeling, clustering, machine learning, data mining and programming languages such as R or Python. He has been supporting several major client engagements by developing predictive models and data analysis. Pablo worked at the National Institute of Statistics (INE) as well.
Examples of his work include:
– Implementation of 4G telephony for a company leading Asian telecommunications.
– Clustering client base card of a major European bank.
– Prediction model for churned clients in Latin America telephone company.
– Sales analysis of a prominent Spanish textile company by segmenting its costume base and launch a product recommendation engine.
CORPORATE EXPERIENCE
• Senior data scientist, McKinsey, Spain, 2014 – 1017
• Founder, Canalyticals, Spain, 2017 – Present
ACADEMIC EXPERIENCE
• Professor, University of Extremadura, 2010 – Present
• Adjunct Professor, IE University, 2017 – Present
• Visiting professor, CEU, 2016 – Present
• Visiting professor, ICADE BS, 2018 – Present
ACADEMIC BACKGROUND
• Ph.D. in Mathematics, University of Extremadura, Spain, 2014
• Degree in Statistics, University of Extremadura, Spain, 2009
• Degree in Mathematics, University of Extremadura, Spain, 2008
