Pardis Noorzad

Data Science Manager

Pardis Noorzad is a Data Science Manager with over 12 years of experience building teams and software that leverage data science and ML. Most recently, Pardis led Connect Data Science at Twitter. She played a pivotal role in establishing the product Data Science function at the company and popularizing best practices.

As the first Data Scientist and Engineer at Rubikloud, Pardis designed and built a promotions allocation system for multi-channel retailers. This has since become the company's flagship product. At Paytm Labs, Pardis built the first fully automated fraud detection system for Paytm—the P2P payments and marketplace app serving India.

At the Mathematics Department at Ryerson, Pardis studied random graphs models of online social networks. As a graduate student in AI at the Tehran Polytechnic, she published on music genre recognition and sparse linear classifiers. Pardis holds a degree in Software Engineering from the University of Tehran.

Tuesday, October 1
3:25 pm
3:55 pm
Robertson Auditorium
Operationalizing machine learning in an organization isn't only an issue of technology. People, organization and culture play critical roles as well. Get any of these wrong and your organization will struggle. This panel will explore strategies for fine-tuning (or overhauling) your organization's softer side to increase its effectiveness.
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