About Me
I am currently leading the Core Risk and Core Growth Applied Science and Analytics Engineer teams at Ramp. Our teams build the core ML models and data products powering Risk Management and Growth at Ramp. Prior to joining Ramp, I worked as a Data Scientist at Meta on their Ads Core ML team. Before that, I completed my Economics PhD at New York University. My academic research interests were primarily focused on industrial organization, applied econometrics and behavioral economics. Outside of work, I like to code, play around with interesting datasets, bike around, and spend time with my wife and our pup, Archie.
Some links
Packages
Patent Scraper
Python package to easily retrieve patent data from google patents. Package repository includes example for how to use multiprocessing to parallelize the package.