Data Science Spring 2022 Capstone Project Showcase

Judges

Mike Frazzini is currently the chief of data science and data insight products at Iterate.ai, a company that specializes in innovation products and services for large enterprises. Prior to joining Iterate, Mike was CTO of eBags.com, where he and his teams built highly innovative and world-class e-commerce platforms and back-office applications to power 34% CAGR between 2000 and 2008 and sales over $100 million and continued double-digit growth and profitability in the following decade. Mike was previously program manager for Kenan Systems (acquired by Lucent in 1999 for $1.5 billion) and held a management role in the IT assurance and advisory group at PwC (formerly Coopers & Lybrand). Mike has a master’s in information and data science from the UC Berkeley School of Information. While there, his team won the prestigious Hal R. Varian Capstone Award. The team built Soundflux, a working prototype for sound-based fall detection with a highly accurate deep-learning model deployed on-device for privacy.

Daniel Gillick is a research scientist at Google where his work focuses on natural language processing and machine intelligence. Dan is also an adjunct assistant professor at the UC Berkeley School of Information. He is course lead and developer for both applied machine learning and natural language processing with deep learning courses in the I School’s data science program.

Maya Miller-Vadem, MIDS ’18, is a math enthusiast, former educator, and team leader. She is currently a senior data scientist at Microsoft D365 Connected Reality. Her early career experiences in K–12 schools gave birth to a lifelong fascination with the interaction between data systems, tacit knowledge, and institutional wisdom — how do the processes with which we create, store, consume numerical information affect the way we think and act? In 2015 this fascination led her to the UC Berkeley Master of Information and Data Science program and a career shift. Since then, as a data scientist and product manager at Microsoft she has worked on business intelligence, ML feature development, and Responsible AI. Maya currently leads a small R&D incubation team for mixed reality, computer vision, and machine learning systems that leverage human expertise in manufacturing and retail. Outside of work you’ll find her trying to decipher the handwriting in her grandmother’s cookbook or tutoring friends’ kids in algebra.

David Reiley is a distinguished scientist in the advertising science group at SiriusXM Pandora and an adjunct professor at the UC Berkeley School of Information, where he teaches a course on field experiments in the data science program. He previously spent more than seven years at Google and Yahoo! Research, primarily working on experiments to measure the effects of online advertising. He started his career as an economics professor at Vanderbilt University and at the University of Arizona.

Ali Vanderveld is a senior staff data scientist at Wayfair, where she serves as a technical leader for machine learning, currently leading the development of novel search and recommendation technologies. Prior to Wayfair, she led a team focused on language AI at Amazon Web Services and was the director of data science at ShopRunner. She has also worked at Civis Analytics, at Groupon, and as a technical mentor for the Data Science for Social Good Fellowship. Ali has a Ph.D. in theoretical astrophysics from Cornell University and got her start working as an academic researcher at Caltech, the NASA Jet Propulsion Laboratory, and the University of Chicago, working on the development teams for several space telescope missions, including ESA’s Euclid.