I'm a data scientist at Grubhub, based out of Chicago. I design and analyse experiments, build machine learning models, and develop internal data science tools
Prior to this, I was a data scientist at the Northwestern Neighborhood and Network Initiative at Northwestern University. I used statistics, network science and machine learning to work on a variety of projects on gun violence and police misconduct in Chicago. As N3's first data science hire, I had the exciting (and sometimes scary) experience of setting up our computing infrastructure, data pipelines, and analysis processes from scratch.
I was on the board at the wonderful Chicago chapter of R-Ladies. R-Ladies is a global support and advocacy group for women and gender minorities who use R. We now have a presence in 149 cities across the world and over 50,000 members!
I arrived at data science by way of Economics at the Indian Institute of Technology Madras (IIT-M), policy research at the Institute for Financial Management and Research (IFMR), and Computational Social Science at the University of Chicago. I'm easily excited by the application of statistical and computational methods in public health, media and popular culture.