Next Meetup

Creating a Modern Data Stack for the Healthcare Industry
Dataiku is joining with Metis to discuss ways we can bring the Healthcare Industry back from the stoneage via a modern data stack. Tentative Schedule: 6:30pm: Pizza + Refreshments 7:00pm: TBD with Data Scientist at Dataiku 7:30pm: Creating a Modern Data Stack for the Healthcare Industry with Marcin Mejran, Data Scientist at Risalto Health Talk Abstracts: Healthcare impacts everyone - yet the technologies that power it are often far from current. So how does one go about building a modern big data stack at a Healthcare startup? What are some of the challenges of getting technologies to play well not just with each other but with the business problems being solved? In this talk, Marcin will discuss how Risalto Health has built out its data stack using a mix of AWS, Kubernetes, Airflow, Scala, Spark and Python for both ETL and Machine Learning. Bios: Marcin Mejran is a Data Scientist at Risalto Health, a Healthcare startup focused on musculoskeletal care, where he wears many hats. His projects at Risalto and throughout his career range from Data Science to Machine Learning to Data Engineering to DevOps to Mobile. Prior to Risalto, he's worked in Healthcare and AdTech for more than a decade both hands on and as a manager. Marcin holds an MS in Statistics and a BS from Stanford University.

Metis New York

27 East 28th Street, 3rd Floor · New York, NY

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    What we're about

    Bringing data enthusiasts together to foster the exchange of ideas and the intellectual growth of the data community. Our series of meetups showcase the work of talented data professionals across industries, for you to get insider tips and tricks to turn data into actionable insights (read more here (
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    About Dataiku:

    Dataiku develops the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Its collaborative, team-based user interface works for all profiles, from data scientists to beginner analysts, and the unified framework allows for both development and deployment of data projects. Learn more at (

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