Abi is a machine learning researcher and currently working as a research scholar with Dr. Judea Pearl studying autonomous agents. Her research interests are learning systems, multi-agent systems, ML OSS and procedural content generation. Previously, she worked as a consultant in machine learning and data science with various startups for four years and teaching machine learning sessions at Women Who Code. Abi is also the Director at Women Who Code Los Angeles and a reviewer and area chair for WiML at NIPS 2018. She studied Applicable Mathematics (M.Sc.) at London School of Economics and did her bachelors in Mathematics with minors in Statistics and Computer Science in 2013. In her free time, you can find her mentoring startups or engineering students, browsing through fashion magazines, playing PS3 games, cooking for friends or catching very late night film screenings.
Nathan is a core contributor to Yellowbrick, a python open source machine learning visualization library. Nathan is also the Lead Backend Developer for Mobile Apps at Farmers Insurance. Previously, he worked as a full stack developer at the Atlantic Media company. In his spare time, Nathan enjoys gardening, enjoying the southern California climate and is training for his first Ironman triathlon. He served in the Peace Corps in Senegal after graduating from UC Berkeley.
Sasha is a senior data scientist at Warby Parker via the acquisition of Polynumeral, where she was a founding data scientist and helped like NASA and WNYC do cool stuff with their data. She was previously an early employee at Codecademy and Twilio and in the first class of NASA Datanauts. She studied physics at Swarthmore College and computer science at Georgia Tech and the Recurse Center. She works remotely from Los Angeles where she is enjoying the art, the produce, and taking her dog hiking.
Sylvia Tran is a Sr. Data Analyst at Gracenote, previously a Data Scientist at OpenDrives. She was also a TA and graduate of General Assembly's Data Science Immersive program. Prior to her life in data, she was a Director at Wells Fargo Capital Finance LLC and has 10+ years of experience in business & risk analysis, financial forecasting, and mergers & acquisitions. She holds a B.S. in Applied Mathematics from UCLA and will begin her M.S. in Analytics at Georgia Tech in January 2019.
Dave Goodsmith is a managing data scientist focused on collaborative applications of machine learning and artificial intelligence for governments and large organizations. His focus is on bringing the benefits of exponential private sector data science growth to government at all levels. Dave has fostered public-private partnerships in the areas of disaster relief, access to data, and traffic management. Dave's data-driven narratives have garnered millions of views in outlets including VentureBeat, the Los Angeles Times, and Forbes. Dave’s activities in the B2G data science community include founding “Our Lives, Our Data” and serving as the Co-Chair of the NSF Innovation Hub Metro Data Science Working Group. Previously, Dave taught the exemplar data science course at General Assemb.ly, led DataKind’s Data Corps and researched neuroeconomics at Columbia University. He holds an MBA in Statistics from City University of New York and a Bachelors degree in Environmental Science and Public Policy from Harvard University.
Neal is a computational statistican and data science consultant. He is a core contributor to the DeclareDesign project for causal inference and a mentor on Springboard to upcoming data scientists.
Amy is a data scientist at System1, an ad-tech company in Venice, California. She is one of the co-organizers of PyLadies Los Angeles. She graduated from University of California, Los Angeles with a BS in Statistics in 2016. She codes in both R and Python, and is interested in creative data visualization and machine learning. In her spare time, she enjoys learning new languages and traveling.
Ravin is a de facto data scientist working in the manufacturing and supply chain industry. Currently, Ravin works at SpaceX designing and analyzing supply chain systems. Ravin is also a core contributor to ArviZ, a visualization and model evaluation library for probabilistic programming and contributes to other libraries in the Bayesian modeling domain. He also writes data science curriculum and recently finished teaching a 6 month course here at USC. Ravin graduated from Cal Poly Pomona with a BS in Mechanical Engineering and from University of Wisconsin Madison with an MS in Manufacturing Engineering. In his spare time he enjoys tinkering on projects at 23b hackerspace.
Linda Suen is a Director of Product Management, Data Science, at System1. She enjoys working with the business to identify opportunities, and create a competitive edge through optimization. In her prior life, Linda worked for Goldman Sachs and Charles Schwab where her passion for data was applied in Finance. She is currently a CFA Level III Candidate. Her unique background in statistics, finance, strategy and management makes her an action-driven and results-driven manager. Linda earned her Masters in Business Analytics at USC and her Bachelors in Mathematics/Economics at UCLA. When Linda is not answering the worlds questions through data, she is traveling the world like a true jetsetter.
Nina Richardson began her tenure at USC in 2009 and has worked in various roles within student services at the Rossier School of Education and the Annenberg School for Communication and Journalism.
Nina holds a Masters degree in Postsecondary Administration and Student Affairs from USC and is currently a candidate for the Doctor of Education in Educational Leadership (Ed.D.) at the USC Rossier School of Education.
Her extensive background working with both on-campus and online graduate students at USC will be a great asset to growing the MS Business Analytics program.
Ilyana “Lily” Salem serves as the Career Strategist for the Master of Science in Business Analytics program by managing career preparation, employer and alumni engagement. Lily built her career primarily in the university setting and previous to USC worked with graduate business students in the Silicon Forest (Pacific Northwest) as Director for Graduate Business Recruitment and Corporate Partnerships where she partnered frequently with employers headquartered in the Silicon Valley and Bay area.
Previously Lily held roles in career services at Chapman University where she managed corporate partnerships, employer relations, career advising, as well the campus wide internship program. Having spent most of her career working with employers in Silicon Beach (Los Angeles) and Orange County, Lily looks forward to building the presence of the MS Business Analytics program with our neighboring business community and beyond.
Lily earned an MA in Student Counseling and an MA in Education Leadership to effectively partner with students for career success as well as build innovative and high-impact recruitment opportunities with employer partners. When Lily is not preparing students for jobs and internships or networking with employers she enjoys the Southern CA lifestyle with friends and family.