Pardis Noorzad

I am a Data Science Manager at Twitter. My team oversees metrics, opportunity sizing, experimentation, and ML efforts (model design, tuning, and validation) for a host of products. These include Search Quality, Trends, Events, Notifications, and Explore. I joined Twitter as a Data Scientist in June 2016.

Before Twitter, I was a Data Scientist and ML Engineer at two early-stage companies: Li Ka-Shing-backed Rubikloud, where I designed and built a promotions allocation system for multi-channel retailers; and Paytm Labs where I designed and built a fraud detection system for Paytm—the SoftBank/Alibaba-backed P2P payments and marketplace app serving India.

Prior to Rubikloud, I was a graduate student in Applied Mathematics at Ryerson University where I studied random graph models of online social networks in collaboration with Prof. Anthony Bonato. Before Ryerson, I was a graduate student in Artificial Intelligence at Amirkabir University of Technology and a member of the Image Processing and Pattern Recognition Lab led by Prof. Mohammad Rahmati. In the final year of the program, I collaborated with Prof. Bob L. Sturm—then at Aalborg University Copenhagen—on a number of ML projects, including music audio genre recognition and studies into the (un)reasonable effectiveness of sparse linear classifiers. I spent the college years studying Software Engineering at the University of Tehran.

At the University of Tehran, I served as ECE Student Representative for three consecutive years. I also served as Graduate Student Representative on the Ryerson Senate for a year.