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Prior to joining GA, Boom worked as a quantitative analyst at BlackRock covering over $42 billion of High Yield bond portfolios. Boom is a graduate of DSI-6, where he was excited to add Python to his skill set and build a portfolio of machine learning projects to aid his transition from quant finance to tech. Since completing his capstone project on optimizing rideshare ETA predictions, he has been working on a predictive model to help ridesharing companies anticipate driver churn rates. In his free time, Boom can be found exploring restaurants in NYC and SF if not thinking about what to do next with his sous-vide cooker.
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