Pablo Gaspar Peral is a skilled data scientist with extensive experience in various industries, including gaming, security, and media. Currently working at Scopely since January 2022, Pablo has contributed to developing game simulators and optimizing heavy queries in Bigquery. Previously, as an Innovation Data Scientist at Prosegur, there was expertise in developing ETLs and machine learning models for predicting alarm usage using technologies such as Python and SQL. Work at Ymedia focused on creating models to analyze media campaign performance and support budget decisions, while earlier roles at Accenture AI involved real-time data segmentation for automotive insurance and energy optimization for Madrid's underground network. Additionally, experience includes healthcare data analysis and project work during internships in Java application development. Pablo holds a degree in Computer Science and Mathematics from Universidad Politécnica de Madrid and completed a digital leadership program at The Valley Business & Tech School.
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