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    Wouter van Amstel

    Data Scientist | Artificial Intelligence/Machine Learning | NLP

    Wouter van Amstel is a versatile professional with a strong background in engineering, data science, and financial trading.

    With a master's degree in Geotechnical Engineering from the University of California, Berkeley, and another in Mining & Petroleum Engineering from Delft University of Technology, Wouter has a solid educational foundation.

    In the realm of data science, Wouter's expertise lies in non-parametric machine learning methods, natural language processing, and deep learning using PyTorch.

    He is well-versed in various databases including PostgreSQL, MongoDB, ElasticSearch, and Cassandra, with proficiency in programming in Python.

    Moreover, Wouter brings a wealth of hands-on experience in trading volatility arbitrage, dispersion, and relative value strategies, demonstrating a strong understanding of financial market structures.

    Throughout his career, Wouter has held key positions at reputable organizations such as Praisidio, Sirona Medical, NetBase Quid, Gild, Galvanize Inc, Chopper Trading, Peak6 Investments, and Group One Trading.

    Wouter van Amstel
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    Location

    San Francisco, California, United States