Next Meetup

Winter Party and Rapid Fire Talks
Come huddle around the projector light and join us for some data driven warmth in the middle of winter! Continuing our 4 year tradition of brightening the darkest nights of winter with a party, on Wednesday December 19th Burlington Data Scientists are teaming up with our good friends at VT Women in Machine Learning and Data Science (aka "WiMLDS") and Burlington Code to co-host "Rapid Fire" talks. 7-by-7! We have 7 exciting 7-minute talks planned for the event! After the talks we'll all move to Skinny Pancake to continue our discussions. Attendees will get a complimentary food/drink ticket provided by Burlington Data Scientists and Burlington Code! About our talks and speakers... MAUREEN MCELANEY "Digital Discrimination: Cognitive Bias in Machine Learning" BIO: Maureen McElaney is a Developer Advocate at IBM's Center of Open Source Data and Ai Technologies and enjoys broadening IBM's understanding and involvement in open source communities. Prior to joining IBM, she worked as a QA Engineer at She founded Girl Develop It Burlington and co-organizes Vermont Code Camp. ------------------------------------- KATIE McCURDY "Visual Health Histories: It's About Time" Bio: Katie McCurdy is an autoimmune patient, designer, and founder of Pictal Health. She is on a mission to use visual communication and human-centered design to help patients tell their stories and help providers focus on the work they love. ------------------------------------- MALINA KIRN “The Mathematics of Neural Networks” BIO: Malina Kirn is a startup founder and software architect at She hold a PhD in Scientific Computation from University of Maryland. She used machine learning to analyze particle physics data from the Large Hadron Collider. ------------------------------------- CARTER STOWELL "The Hope Algorithm: Competing to Predict Dengue Fever in the Tropics" Bio: Carter Stowell is a data scientist with an M.S. in Predictive Analytics from Northwestern University. He provides data strategy and analysis at Provoc, a creative agency and B-corp based in Washington D.C. that serves visionary leaders on projects with high social impact. Carter has spent 20 years immersed in empathetic web/UX practice starting at Wired and Hotbot in the 90's. He also co-founded, a top site for oyster-lovers. ------------------------------------- JULIE BERLIN "Dataflows in D3: Making graphics interactive" Bio: Currently Senior Developer/Designer at LORD Corp. in Williston and a graduate student in Georgia Tech's OMS Analytics program, Julie Berlin is very interested in effective information design and data visualization for decision making. Julie learned web design in the late 1990s by teaching herself how to make websites for musicians and friends. She worked at Monitor Company in Cambridge, MA for 16 years designing data-intensive business presentations and building websites for Fortune 100 clients before moving to an old farmhouse in central Vermont where she lives with her husband, dog, and cat. ------------------------------------- NEAL HAYDEN "Classifying 1-3 Star Amazon Reviews." Bio: Neal Hayden is a data analyst at Keurig Dr Pepper. He analyzes consumer complaint data in order to improve the quality of K-cup coffee. ------------------------------------- TANYA KANIGAN "Fun with Human Gene Expression Data" Bio: Tanya Kanigan has PhD in Physical Chemistry and feels compelled to develop analysis tools for all sorts of applications. She lives in Charlotte and works remotely as COO of Genomic Expression, a cancer diagnostic company based in Beverly, MA. She can align a laser and milk a goat, though not at the same time. ------------------------------------- Thanks to everyone who submitted an idea for a 'Rapid Fire' talk! We got many great submissions and hope to have all of you present at some point in the next year.

The Gallery, Main Street Landing

60 Lake Street, Burlington · Burlington, VT

What we're about

As data and analytics professionals, we need a safe place to share ideas; with opportunities to network, teach and learn. The BTV Data Science Meetup aims to offer such a place, and we need people like you to help create it. If you're a student, statistician, or data science professional, we'd love to get to know you.

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