Rita loves diving into difficult analytical problems and seeks to uncover insights about the world, making conceptual and practical sense of ambiguity.
Rita holds a PhD and master's in cultural psychology and psychological anthropology and a master’s in history of religions, both from UChicago, and a BA in psychology from Northwestern. In 10+ years as a researcher, analyst, and teacher of research skills, she's taught subjects ranging from writing to power in organizations to data analytics. She has worked in market research strategy consulting and in consultative research and design positions in UChicago’s Provost’s Office and Booth School of Business. A Metis bootcamp grad, Rita is always looking for the best method to solve a problem, which is what brought her to data science. She's particularly excited about NLP, data visualization and storytelling, and statistics, but given enough time, she finds pretty much everything interesting. When she isn't wrangling data, she is probably making art, baking, traveling, or reading philosophy.
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.
Heather is a Data Scientist at iHeartMedia.
Heather started her career studying mathematics, specializing in modeling applications to biological systems. After receiving a PhD and leaving academia, she transitioned to data science, working in a variety of industries, including finance, consulting, retail, and government. Getting back to her roots, she enjoys combining her love teaching mathematics with her experience of applying data science to real-world problems.
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.
Anastassia is currently a Research Scientist at FiscalNote.
As a research scientist, Anastassia uses Machine Learning and Natural Language Processing to create insights from legislative and regulatory data. Over her four and a half year tenure, Anastassia has run a number of projects ranging from forecasting if legislation will pass to identifying key words and topics in text. In addition to building platform features, Anastassia has authored several papers for top-tier Natural Language Processing. Previously, she received a bachelors degree in Computer Science from Carnegie Mellon University. She loves to spend her free time outside, hiking, climbing and skiing.
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.
Scott Stoltzman is the owner of an analytics consulting business where he works with companies to build and improve data science and analytics capabilities.
With over 8 years of experience in the industry, he brings practical knowledge and strong technical skills to every situation. He has worked in a broad array of fields from derivative pricing with a hedge fund to running computer vision projects on an assembly line. He lives in Fort Collins, CO and enjoys hiking, biking and snowshoeing with his family. He has a passion for both teaching and learning.
He has a strong academic background and has achieved a B.S. in Civil Engineering, a M.S. in Mathematical Finance and an MBA.
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.
Sales Director of National Accounts
Connell has 14 years of account development and account management experience at Kaplan that includes K12, corporate and higher education. Starting at Kaplan in 2004, Connell was responsible for creating relationships with human resources managers in charge of development for large groups of employees. This resulted in establishment of on-site Kaplan classroom programs for GMAT and LSAT prep delivered at investment banks, consultancies, technology and law firms across Manhattan.
Connell has also spent time on Kaplan's pre-college team developing relationships in the New York City Department of Education and with school districts around the country to expand access for high school students providing Kaplan Test Prep for SAT and ACT exams.
Client Services Manager
Kelly has a passion for Diversity and Inclusion and is committed to helping people reach their true educational potential.
Kelly began her Kaplan career in 2010 with Kaplan University - now Purdue Global. She transitioned to Kaplan Test Prep in 2012 where she worked in Institutional Partnerships servicing client accounts. Now, as the Client Services Manager for Metis Corporate Training, Kelly works closely with clients to accommodate special requests and to make sure training runs smoothly for both team leads and employees from start to finish. Kelly received her BS Degree in Business Administration and her MS Degree in Public Administration. She is based in Florida where she has lived her entire life, a true Floridian! In her spare time she loves to travel, enjoys the beach, boating and kayaking as well as spending time with her family.