As an executive at Carbon Health, I built a world-class Data Science function driving data infra, data privacy, 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, 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 for retailers, 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 the bio I use for conferences and podcasts.
Pardis Noorzad is a data science executive with over 14 years of experience building effective teams and quality software products. Most recently she built the Data Science function at Carbon Health, driving data initiatives across all products and services of the 1500-person company. Before that, Pardis led Connect Data Science at Twitter, covering 80% of consumer products. At Twitter, she played a pivotal role in reestablishing the Product Data Science function and instituting best practices. In addition to healthcare and social media, Pardis has held data science and engineering positions in fintech and in e-commerce.