Data Science Spring 2021 Capstone Project Showcase
Capstone projects are the culmination of the MIDS students’ work in the School of Information’s Master of Information and Data Science program.
Over the course of their final semester, teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling presentations along with a web-based final deliverable.
Join us for an online presentation of these capstone projects. Each team will present for twenty minutes, including Q&A.
A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award.
Judges
Sahab Aslam has unique and diverse experience ranging across data science, B2C life insurance products, digital health, product development, software engineering, and human-centric design in start-ups and Fortune 100 companies. Sahab started her digital health journey nine years ago, providing digital health solutions via SMS and voice recording technologies in underserved populations. Today, she utilizes data science to develop solutions and products to improve patients' lives and drive business impact at Merck. Sahab recently joined the MIDS faculty to share her passion for data science with her students. Sahab is an avid advocate of women in data science and technology. She mentors women who are early in their careers in the tech field. Sahab is an angel investor at Berkeley Alumni Network and advises many start-ups on product and data science. In her free time, she watches Star Wars spin-offs with her husband and two children. Sahab received her Master of Information & Data Science from the University of California, Berkeley. She holds an MS in mathematics and a bachelor’s in liberal arts and sciences.
Derek S. Chan is a MIDS alumnus from Spring 2017, when he received the Hal R. Varian Award, followed by an informal Google partnership, and is AI product director at Bill.com. His AI industry teams and products have helped companies reach their highest-ever customer satisfaction and/or revenue growth, plus #1 AP Automation 2020 and the IT World Award 2018. He enjoyed presenting topics and interacting with the MIDS community at Virtual Forum 2020 and DataEDGE 2018, and wishes you a fun and meaningful showcase!
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.
Dr. Ramesh Sarukkai is a technologist in the valley where he has served in various leadership roles at Facebook, Google/YouTube, Lyft, Braintree/PayPa, working on delivering products and platforms used by billions of users and millions of businesses. He has a Ph.D. in computer science from the University of Rochester, authored a book on Foundations of Web Technology (Springer/Kluwer), and holds over fifty patents. He is also active participant in panels/workshops in conferences on machine learning (e.g. NIPS self-driving workshop, CVPR).