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
- Effective Altruism
- Science fiction
- Vegan baking
- Personal productivity
- British panel shows