Parexel
Rafael Coderch Lanau is a Data Scientist specializing in Health Economics at Parexel since November 2022, contributing to the Advanced Analytics team with a focus on creating R Shiny interactive applications for optimized decision-making in the biopharmaceutical sector. Prior to Parexel, Rafael held the position of Advanced Data Analyst at Festo from November 2020 to August 2021, where significant projects included developing demand forecasting and customer potential estimation tools that drastically reduced evaluation times. Before that, Rafael worked as a Data Scientist at Accenture from July 2018 to November 2020, delivering data-driven solutions for various clients across industries, including pharmaceuticals and automotive, employing advanced analytics, machine learning, and optimization techniques. Rafael's educational background includes a Master of Science in Statistics and Operations Research from UPC School and a Master of Science in Business Analytics from Esade, along with a Bachelor of Business Administration from Universidad Nacional de Educación a Distancia.
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