Daniel Barg is a Data Scientist and Machine Learning Engineer with over 8 years of experience, primarily in the health-tech sector. They have worked on diverse projects, from precision cancer research at Perthera to developing a sentiment analysis classifier for NIH grant applications at Skillwill. Currently, Daniel serves as a Senior Product Data Scientist at Built, after previously contributing to One Drop's app with innovative risk score and reinforcement learning algorithms. Daniel holds a Master's degree in Mathematics from the Georgia Institute of Technology and a Bachelor's degree from Columbia University.
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