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Javier is passionate about using math, computing, and different types of data to improve business performance and user experience in commercial technology products. He holds a MS in Telecommunication Engineering from the Universidad Politécnica de Madrid, where he worked in the fields of Biometrics and Operations Research before joining Zippia. During his Master’s Thesis, he combined his signal processing background with machine learning techniques to develop a system that could operate a robotic arm using an EEG signal.
Personal Site: https://javierandres.me
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