What we're about

NYC Data Engineering & Science hosts events where lead engineers & data scientists from pre-screened companies present talks on their projects for the benefit of the data community. NYC companies are doing amazing things with data and we've created this event to help them showcase their work and help other engineers level up.

What you'll gain from this group:

* a better understanding of the best OS tools to use in building your own data infrastructure (pipelines, platforms, storage options, etc.)

* real world examples from top technical companies explaining the data platforms their engineers are building

* applied data science talks that explain the minimum level of algorithmic understanding engineers should have to work better with their data science counterparts, or to become a Machine Learning Engineer-unicorn themselves

* highly technical conversations with other attendees, and announcements of the best data events and opportunities in the NYC area

Want to give a talk? Please submit it here for consideration: https://www.datacouncil.ai/meetup-talk-submission

This group is an independently organized Data Council group and is sponsored by Data Council ( https://www.datacouncil.ai/ )


All attendees, speakers, sponsors and volunteers are required to agree with Data Council's Code of Conduct ( https://www.datacouncil.ai/code-of-conduct ).

Other Data Council Local Meetups can be found here:


Upcoming events (1)

In Person Event: Data Driven Scheduling & Decision Making

636 6th Ave

6:00 - Doors & Food
6:30 - Talk 1
7:15 - Talk 2
7:45 - Wrap & Chat

Talk 1: Data Infrastructure for Product Experimentation
Speaker: Vineeth Madhusudanan, Product Manager @ Statsig
Product experimentation is the cornerstone of data-driven decision making. However, to adopt experimentation, product teams need infrastructure and tooling that’s (a) easy to onboard and (b) that provides easy-to-interpret results. In this talk, we share common challenges and solutions for building this data infrastructure and tooling to operate reliable and trusted pipelines. We also share lessons in crafting tools for real-time data exploration, easy diagnostics, and smart decision making. You’ll walk away with a framework for how to assess your team’s maturity on data-driven decision making, how you can build the underlying data infrastructure incrementally to move up the curve, and how to anticipate and address the challenges in scaling data operations for experimentation.

Talk 2: Data Driven Scheduling + AstroSDK as part of Airflow 2.4
Speaker: Viraj Parekh, Founding Team & Field CTO @ Astronomer
Data driven scheduling is game changing, and AstroSDK, an OSS, Apache Licensed project that works with any Airflow environment, takes it to the next level

Past events (75)

In Person Event: In-app Data Streaming || Collaboration between DE & DS

7th Ave at 52nd St, Manhattan

Photos (90)