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Miguel Zabaleta is a Deep Learning Engineer at Tensoreye, working with the Holistic Path team since October 2022. Prior to this role, Miguel conducted research at Universidad Carlos III de Madrid from September to December 2022, focusing on model stability using Knowledge Distillation for a project with Banco Santander-Consumer Finance. Miguel previously interned at Amazon as a Business Analyst from February to August 2022, where contributions included improving supply chain forecasts and automating tasks with Python. Additionally, Miguel completed an internship at NTT DATA in early 2021, engaging in ETL with Big Data and developing upgrades in Python and SQL. Earlier experience includes teaching at an elementary school in Ireland. Miguel holds an MSc in Big Data Analytics from Universidad Carlos III de Madrid and a BSc in Mathematics & Statistics from Universidad Complutense de Madrid.