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AK

Andrew Kins

Mayo Clinic
Principle Data Science Analyst
Monday, December 3
 

9:00am CST

Kickoff Atrium

9:30am CST

Recommender Systems: Algorithmic Fundamentals (1) Omnitheater (Access via Floor 5 or 6)Joseph Konstan, PhD

10:30am CST

Marketing Personalization using Machine Learning: Harnessing Consumer Engagement for Better outcomes (2) Auditorium (Floor 3)Devi Kyanam Analytics & RPA (3) Discovery Hall (Floor 4)Chet Chambers

11:00am CST

Break

11:15am CST

Predictive Modeling Cooking Show (2) Auditorium (Floor 3)Nathan Hubbell • Laura Johnson • Priyanka Shah • Rick Sutherland

1:00pm CST

Let's Get Visual with TC Data Viz Group (2) Auditorium (Floor 3)Tricia Duncan • Dave Mathias • Lisa Osacho • Sarah Solbrig • Paul Wickman Building Better Budgets (6) Xenon Room (Floor 6)Max Humber

2:00pm CST

Building Marketing Analytics Capabilities, Brick by Brick (1) Omnitheater (Access via Floor 5 or 6)Jason Rogowski • Ryan Stellmaker Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression (2) Auditorium (Floor 3)Kim Eng Ky • Eric Lind

2:45pm CST

Anomaly Detection from A to Z (4) Argon Room (Floor 6)John Hogue

3:45pm CST

Sniff Out, Then Snuff Regression to the Mean (2) Auditorium (Floor 3)Jason McNellis

4:15pm CST

Networking Social Atrium