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With Ankit Gupta (Sr Data Scientist Personalization & Data Science, Nike).
Friday, September 18, 2020 at 02:00 PM   Absolutely Free
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EVENT DETAILS
Thanks for your interest in this Dataiku NYC 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, weve decided to pivot towards online webinars via our partner platform, BrightTalk.

IMPORTANT - RSVP HERE:
https://www.brighttalk.com/webcast/17108/437097?utm_source=Dataiku&utm_medium=brighttalk&utm_campaign=437097

Tentative Schedule: (EST)

2:00pm: Intro
2:05pm: Foundational Data Science for Personalized Communications w/ Nike
2:45pm: Q&A

Talk Abstract:

Checking emails is one of the most common activities on PCs & mobile devices. This is significant as Nike invests a lot of effort into email communication. Although the cost of sending an email may appear minimal, the cost aggregates with a larger database. Notable, the user engagement governs the reputation of Nike IP addresses & KPIs. Therefore, it is important to identify the campaigns relevant to consumers with a high propensity of engagement. The goal of the Personalized Communications team is to serve the Nike consumers with the most relevant campaign emails at the right time with the right frequency. In this talk, Ankit will discuss important questions / topics that Nikes Personalization Communications team needs to consider & how to build the data foundation for Personalized Communications. Ankit will also address question such as How does Nike do Personalized Communications right now? What's working well & what's not? & include a deep-dive into some of the data science models that his team is currently working on.

Speaker bio:

Ankit has 4+ years of experience informing business decisions through data science & statistical modeling. He is currently working as Sr. Data Scientist at Personalization & Data Science team at Nike. His previous experiences include working in Ad Tech & Finance industry.

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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