As an executive at Carbon Health, I built a world-class Data Science function driving data infra, data governance, data analytics, and machine learning initiatives at the company. We published the first ever open clinical data repository. We shared some of our work at AI Summit Silicon Valley 2020.
I led Connect Data Science at Twitter—covering Search, Trends, DMs, Explore, Events, Topics, Notifications, and Video. I reestablished the Product Data Science function at the company, ushering its expansion for the first time in four years.
At Paytm Labs, I designed and built a fully automated fraud detection engine for Paytm—the P2P payments and marketplace app serving India. As an early employee at Rubikloud, I proposed and built a promotions allocation system which remained the company's flagship product up to its acquisition.
I studied random graph models of online social networks at Ryerson University. At Amirkabir University, I published on music genre recognition and sparse linear classifiers with Bob L. Sturm. I hold a degree in Software Engineering from the University of Tehran, where I served as ECE Representative for three years. I also served on the Ryerson Senate for a year, working closely with Sheldon Levy.
Below is a short bio for conferences and podcasts.
Pardis Noorzad is an executive with over 14 years of experience building effective teams and quality products. She built the Data Science function at Carbon Health, driving data initiatives for all services and functions of the 2K-person company. Pardis led Connect Data Science at Twitter, covering 80% of consumer products. At Twitter, she played a pivotal role in reestablishing the Data Science function. In addition to healthcare and social media, Pardis has built products in fintech and in e-commerce.