ASA Datafest 2023

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Description

2023 ASA DATAFEST WINNING TEAMS

PANEL A AWARDS

Best Insight Award
Team 26  The Outliers
Virtual team from Arizona State University

James Blasich           
Samuel Mabry
Ilsa Ramirez    
Jazmyne Wilson

Best Use of External Data Award
Team 12  R-tists
Northern Arizona University 

Aadarsha Bastola
Sakina Lord    
Catalina Munoz    
Iris Robedeau    
Gavin Rodriguez    

Best Visualization Award
Team 29  Little Bobby Tables
Virtual team from Arizona State University

Yazan Abulaimoun    
Sean Peck-Collier

Judges' Choice Award 
Team 10  GoodGamePlotters
Northern Arizona University

Peter Eng    
Dominic Hartman    
Garrett Marshall 
Shlok Sheth   
Travis Weber    

PANEL B AWARDS

Best Insight Award
Team 19  ANOVA one bites the dust
University of Arizona   

Sarvesh Paradkar    
Onitza Ragucci    
Bena Smith

Best Use of External Data Award
Team 11  Irregular Expressions
Northern Arizona University 
 
Avery Bell
Jayden Chrzanowski     
Ryn Huesgen
Milana Marshall  

Best Visualization Award
Team 17  The Frascals
University of Arizona

Josh Colten    
Garrett Cook    
Hayden Estrella    
Arianna McClinton

Judges' Choice Award
Team 2  Data Detectives
Arizona State University

Tal Ashkenazi
Allyson Huang
Noah Ruiz    
Noam Yakar    
Adithya Yerramsetty    
 

DATAFEST 2023
Virtual 48-Hour Data Hackathon
March 24 - 26
Hosted in person on each campus and virtually for online students

Undergraduate students from any major at ASU, UArizona or NAU can participate in ASA DataFest 2023. It is being hosted locally on each university campus and virtually for online students this year. Teams of 2–5 students compete in a 48-hour virtual data hackathon. Employers love to see this kind of experience on student resumes. (Undergraduate students from ASU, NAU or UofA in any major can compete).

STUDENT PRE-REGISTRATION IS CLOSED. WE ARE AT FULL CAPACITY FOR 2023.

STUDENTS PRE-REGISTER BY SUNDAY, MARCH 5

Those pre-registering by Sunday, March 5, 2023 by 11:59 PM (AZ/MST) will be guaranteed a place in the competition. The final full registration form is forthcoming. Due to limitations on how many students can be accommodated, students not pre-registered will not be guaranteed a spot.

MENTORS REGISTRATION

The American Statistical Association (ASA) DataFest is a nationally-coordinated undergraduate competition in which teams of undergraduates work around the clock to find and share meaning in a large, rich and complex data set. Previous years’ data sets have included crime data from the Los Angeles Police Department, dating data from eHarmony, energy use data from GridPoint and sales data from Ticketmaster. This year’s data set will be revealed at the opening of the event on Friday evening. At the conclusion of the competition, each team will have five minutes to make a presentation to our panel of judges. In addition to a Judges' Choice award, we will give awards such as Best Visualization, Best Insight and Best Use of External Data.

Learn  Representatives from the local ASA chapter will present details and answer questions about the 48-hour data competition.

Analyze  DataFest introduces you to what is likely the richest, most complex dataset you’ve seen so far in your undergraduate career. The dataset is provided by a real-life organization and is chosen to provide many avenues of discovery. Students at any stage of their data science education will find something of interest and will have the opportunity to make an original finding. Students from any major are welcome.

Network  Mingle with data science professionals who visit DataFest to offer their advice and answer your questions. Many professionals find DataFest to be a great recruiting opportunity; they get to watch talented undergraduate students work under pressure in a team and examine their thinking process.

Experience  Past participants of DataFest have gone to job interviews able to describe technical challenges overcome, explain how they work under time-pressure and talk about their thoughts on solving real-life data problems.
 

Location
Virtual and local hosting