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Phil Glazer
Data Scientist at Sundae
Phil Glazer is a data scientist specializing in predictive modeling with a background in investing and financial technology.
He is skilled in Python, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, various web frameworks and libraries, APIs like Plaid and Twilio, AWS services, Heroku, Git, GitHub, JavaScript, and databases including MongoDB, MySQL, and PostgreSQL.
Phil Glazer studied at the University of California, Berkeley, and has worked in various roles at organizations such as Sundae, Bitwise Asset Management, Maschmeyer Group Ventures, KKR & Co. Inc., and Bocage Capital LLC.