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Javier Cerezo

Javier Cerezo

Associate Director of Data Science, Novartis
Javier Cerezo leads a team of data scientists at the Advanced Analytics Hub of Novartis with the goal of developing predictive machine learning products for financial forecasting (in Python / R and using MLOps technologies such as Sagemaker, Snowflake, Databricks, EKS, and others). Javier is also a part-time adjunct Professor of Machine Learning and Economic Modelling at IE University. His expertise is the application of machine learning and data science techniques to financial and strategy problems in the business environment. Javier’s background is as an aerospace engineer; he started his career at Airbus in flight physics, aeroelasticity and structural analysis. After five years he decided to start an executive career and learn about Finance and Economics, so he pursued an MBA at the University of Chicago. Before joining Novartis he worked as an Associate in McKinsey, where he engaged in strategy and operations projects in Latin America, and as a Senior Product Manager in Amazon.
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