Dataiku Virtual Event for March Madness

Build a Better Bracket with Data Science

Featuring Joe Lunardi, resident Bracketologist for ESPN

Join Dataiku to make your March Madness bracket!  We will review the fundamentals of basketball analytics, present a bracket predicted by Dataiku's data scientists, and discuss with Bracketologist Joe Lunardi. Joe Lunardi invented Bracketology and has been projecting the NCAA Tournament field for ESPN.com since its inception. Then fill in your bracket with knowledge from an industry expert and data science!

A must-attend experience for any basketball fan and a chance to virtually gather with your peers in data and analytics.

Join us on Wednesday, March 17 at 4:30 EST.

RSVP for March 17 @ 4:30 EST

Agenda

Build your bracket with knowledge from an industry expert and data science

  • Overview of college basketball analytics including the stats that matter most
  • Presentation of the bracket created on DSS and discussion with Joe Lunardi
  • Questions are encouraged throughout as this experience is meant to be interactive

Your Hosts

JOE LUNARDI HEADSHOT-2

Joe Lunardi

Bracketologist

Joe Lunardi is the resident Bracketologist for ESPN. He invented Bracketology and has been projecting the NCAA Tournament field for ESPN.com since its inception. Each year, Lunardi breaks down the Tournament hopefuls, provides team analysis, and offers real-time, in-season bracket updates of potential seedings and pairings. 

Kwasi Arhin

Kwasi Arhin

Dataiku Data Scientist

Kwasi Arhin is a Data Scientist at Dataiku working with top companies across industries to deliver impactful AI solutions. Kwasi  was drawn to data science by the power of data-driven decision making. As a former athlete, Kwasi is passionate about sports and found sports analytics the perfect way to bring together his personal and professional interests. 

headshot1-2

Neil Menghani

Dataiku Data Scientist

Neil is a Data Scientist at Dataiku working with high-value clients from a variety of industries to build out sophisticated use cases with DSS. While he has extensive experience in the financial services space, Neil's passion is for sports analytics, developing personal projects for analysis across multiple leagues 

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