Pardis Noorzad

Pardis Noorzad

Head of Data Science
Carbon Health

Pardis is Head of Data Science at Carbon Health, a technology-enabled healthcare provider designed to make world-class primary and urgent care accessible to all. Her team’s mission is to improve health outcomes and increase operational efficiency.

Previously she led Connect Data Science at Twitter—covering Search, Trends, Explore, Events, Moments, Topics, and Notifications. Pardis reestablished the Product Data Science function at the company, ushering its expansion for the first time in four years. At Paytm Labs, she 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, Pardis proposed and built a promotions allocation system for retailers.

Pardis studied random graph models of online social networks at Ryerson University. At Amirkabir University, she published on music genre recognition and sparse linear classifiers. She holds a degree in Software Engineering from the University of Tehran, where she served as ECE Representative for three years. Pardis also served in the Ryerson Senate for a year.

Building Teams and Culture that Support ML Innovation
Friday, January 22 | 
10:55 AM - 
11:25 AM

Traditional approaches to managing technical projects, organizing technical teams, and establishing organizational culture can often be at odds with innovating quickly in general and achieving success with machine learning and AI in particular. In this session we discuss how ML/AI executives can build highly effective ML teams, support them with the right processes and tools, and shift the broader organizational culture in ways that support rapid innovation and adoption of machine learning.

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