Alison is a Director of Data Science in Research and Development at the NPD Group, a global Market Research firm.
At NPD, Alison leads Data Science projects focusing on classification, data imputation, customer segmentation. She is also repsonsible for analyzing and integrating third party data sources that support modeling initiatives for NPD's omni-channel product, Checkout. Alison previously was a Data Scientist in the Healthcare industry after transitioning from a 10 year career in clinical care of Oncology patients. Throughout her medical and analytics experience, Alison has consistenly been an educator and mentor including teaching positions at The University of Vermont Medical Center, The Swedish Institute of Allied Health Sciences and Northeastern University. Alison's Masters' studies in Data Science were completed through Northwestern University and is a proud Alum of Metis' Data Science Bootcamp. She lives in Vermont with her husband, 2 young boys and an energetic Chocolate Lab named "Gracie".
As a former engineer, Nathan enjoys data science because it allows him to apply the mathematical skill set he developed designing algorithms for individual products to optimize the behavior of entire organizations.
Nathan began his career developing signal processing algorithms for wireless communications at Qualcomm. He subsequently worked in data analytics for intellectual property applications, and in data science for telecom applications. Nathan is currently a data scientist at Wells Fargo, working on machine learning for FinTech applications. He holds a BS in Mechanical Engineering from the University of Illinois, an MS in Electrical Engineering from the University of Michigan, and an MBA from the University of Pennsylvania’s Wharton School, as well as certificates in data science and data analytics from UC Berkeley and UC Santa Cruz. When not working, Nathan enjoys skiing, cycling, playing tennis and spending time with his wife and three sons.
Garrett gets most excited about approaching data problems from a people-first perspective – employing empathy for the end user and using what we know or can learn about complex systems to drive optimal experiences and outcomes.
In his current role as Director of Data Science at StockTwits, Garrett leads efforts to use data science and machine learning to understand the network’s social dynamics and develop research and discovery tools that are used by over one million investors. A self-proclaimed “recovering actuary”, he started his career at Xerox, building probabilistic life contingency models for healthcare and retirement plans, designing liability driven asset management strategies and using Monte Carlo techniques to value executive option plans. He holds a BA in Mathematics from the The College of New Jersey and is currently working towards his MS in Computer Science from Georgia Institute of Technology. He is also an alumni of the Metis Data Science Bootcamp. When not working Garrett enjoys playing basketball, going to the gym, keeping up with tech news and working through MOOCs to stay on top of the latest development in AI.
Samiyeh (Sami) is currently a Senior Data Scientist with Intertrust, where she works on industry-leading machine learning algorithms in IOT to optimize the operation of the “vertical industry,” such as energy and insurance.
With her teaching experience and knowledge, Sami is leading the Data Science internship program for Interturst. Sami has a doctorate in Theoretical Physics from Florida State University and the National Hight Magnetic Field Laboratory. During her PhD, she worked on advanced statistical analysis to understand the nature of disordered systems—such as glasses. Prior to joining Intertrust, she was an adjunct lecturer at San Francisco State University. Teaching is her passion and she enjoys sharing her experiences with anyone willing to learn.
Currently, Dimitri applies advanced statistical and machine learning modeling techniques at Scribd, a subscription service for ebooks and audiobooks.
Dimitri received both a BS and MS in electrical engineering with an emphasis in signal processing from Arizona State University. While integrating deep learning algorithms and analyzing their performance at Intel in Phoenix for 3 years, he decided to make the jump into data science and attended the Metis Data Science Bootcamp in San Francisco before joining Scribd. In his free time, Dimitri enjoys tennis, guitar, reading, taking courses, and sharing his knowledge with others.