Do you have burning questions about any of our programs and what the might entail? Do you want to hear from real people who have been through the data science fellowship and have them spill the details on what they really think?
Then come to our live Alumni Ask Me Anything Panel on November 2nd!
Our fantastic alumni will be hosting an online discussion to answer all of your questions about TDI – from the application, to the coding challenge, to how to ace your interview. Hear candid stories about their time with TDI as they answer anything you dare to ask about the program.
About our alumni guests:
Hi, I’m Matt Chan, and I was part of the East Coast Data Science Cohort in summer 2020. I currently work with the Analytics and Experimentation Data Science Team as Data Scientist for Big Data at Comcast. At Comcast, I’m the lead data scientist for the Xfinity Flex product team, where we use predictive modeling to provide insight for product design, experimentations, and evaluation. Other projects I’ve build on my own between pivoting to a data science career and landing my first job includes a web app that takes midi music files uploaded by users, and passing that through a convolutional neural network that generates string quartet arrangement pdf sheet music. In my past career, I worked at a University as a research faulty and administrator managing two research and education centers as an Associate Director.
I am a trained data scientist with a PhD. from the University of North Carolina at Chapel Hill. I am currently a Senior Data Scientist at Cova Strategies, LLC, and use my mathematical, statistical, and game theoretic knowledge to design analytics to help our clients recognize patterns, see problems, and make decisions faster than would otherwise be possible. In particular, I have worked on several DARPA-funded research projects, as well as customer facing products using custom trained machine learning models, NLP, network graph analytics, and more.
I currently serve as a full-time data analyst consultant at Evernorth Health Services. I also serve as a part-time statistician (weekends) and teaching fellow (occasional evenings) at Harvard University, and have also taught a graduate-level introductory statistics class as a lecturer at the Massachusetts Institute of Technology earlier in 2021. My work draws from the social sciences, clinical sciences, data sciences, and most recently, business administration. I enjoy helping people learn how to choose from a variety of tools to synthesize insights that translate into meaningful, practical, and impactful applications.
Navigational Analyst @Boeing