As an executive at Carbon Health, I built a world-class Data Science function driving data infrastructure, 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 a Data Science team at Twitter—covering Search, Trends, Explore, Events, Topics, DMs, Notifications, and Video. I reestablished the 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 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 served on the Ryerson Senate for a year, working closely with Sheldon Levy.
Here is a summarized bio for conferences and talks.
Pardis Noorzad has built highly effective data science and engineering teams, twice. The data function at Carbon Health drove all data initiatives as the company grew 45X. At Twitter, her team covered 80% of consumer products. In addition to healthcare and social media, Pardis built products in fintech (at Paytm) and in e-commerce (Hong Kong, Europe, and Canada markets).
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