Data scientist passionate about findings insights that guide business decisions. In my current role, I primarily work on recommendation algorithms. In the past I have used machine learning to classify toxic comments, predict antibacterial drug mechanisms, and predict customer churn probabilities.

Skills: Statistics, machine learning, recommender systems, learning to rank, natural language processing, data visualization, causal inference, PySpark, Python, SQL and R.

Currently I am a Lead Data Scientist at Peapod Digital Labs. In a previous life, I worked as a tuberculosis researcher at Weill Cornell Medicine


Things I’m into

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