What we're about

Dataiku's jumping into Boston to gather data experts and enthusiasts together and support leaders in the local data community. Our meetups bring speakers from the cutting-edge of data science, analytics, and engineering from big tech, academia, and the Fortune 500 to discuss themes and projects in ML, AI, NLP, Deep Learning, etc.

All types of data professionals, scientists, engineers, analysts, and students welcome!

Want to collaborate?

We partner with companies, schools, and individuals to organize meetups and showcase the work of inspiring data professionals to a broad audience.
Get in touch to contribute!

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 http://www.dataiku.com

Upcoming events (2)

[VIRTUAL MEETUP] Recommendation Systems for B2B Companies w/ Yiweil Li (Paypal)

Thanks for your interest in this Dataiku Boston Meetup! The health & safety of our attendees & speakers is our primary concern. While this currently proves to be a tricky time for public gatherings, Dataiku is still committed to providing great tech content & facilitating discussions in the data science space. As such, we’ve decided to pivot towards online webinars via our partner platform, BrightTalk.

IMPORTANT - RSVP HERE:
https://www.brighttalk.com/webcast/17108/462725?utm_source=Dataiku&utm_medium=brighttalk&utm_campaign=462725

Tentative Schedule: (EST)

10:00am: Intro
10:05am: Recommendation Systems for B2B Companies w/ Yiweil Li (Paypal)
10:45am: Q&A

Talk Abstract:

TBD

Speaker Bio:

Yiwei is currently a data scientist at PayPal. Previously, Yiwei was a Sr. Analytics Consultant in Machine Learning at EXL where she facilitated the underwriting decision-making program for J.P Morgan Chase’s small business loan applications by optimizing between revenue objectives and risk management. She graduated from Columbia University with a Master’s degree in Statistics.

Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

[VIRTUAL MEETUP] Establish Data Advocacy in Your Organization with WeWork

Thanks for your interest in this Dataiku Boston Meetup! The health & safety of our attendees & speakers is our primary concern. While this currently proves to be a tricky time for public gatherings, Dataiku is still committed to providing great tech content & facilitating discussions in the data science space. As such, we’ve decided to pivot towards online webinars via our partner platform, BrightTalk.

IMPORTANT - RSVP HERE:
https://www.brighttalk.com/webcast/17108/467471?utm_source=Dataiku&utm_medium=brighttalk&utm_campaign=467471

Tentative Schedule: (EST)

2:00pm: Intro
2:05pm: Establish Data Advocacy in Your Organization with WeWork
2:45pm: Q&A

Talk Abstract:

Data has minimal impact without adoption from the everyday user. To create an authentically data-driven organization top down, it is essential to gain buy-in from stakeholders and share the skills required for analysis in a scalable way. At WeWork, we have a high volume of users on local and global levels. In this session we will provide the framework for how to establish data advocacy in your organization, revolving around our 3 pillars of data culture- awareness, trust and empowerment.

Speaker Bios:

Lucianne Millan is a Data Engineering Manager at WeWork, where she has spent the last 3 years helping to bridge the gap between insights and business impact, with a special focus on enabling data-driven decision making for executives and investors. She has over 10 years of professional experience in data, spanning different industries, company sizes and data disciplines. She is passionate about promoting data literacy and works with institutions such as Columbia University and Parsons to design and teach data skills at a graduate level.

Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

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