MIDAS partnered with Quicken Loans to hold a week-long data challenge, with MIDAS selecting 5 undergraduate and 5 graduate students to compete.  The original description of the challenge can be found below.


Congratulations to our winners!

Stuart Ong- Graduate Division, student in the Masters of Applied Data Science program in the School of Information

Zhixuan Yang- Undergraduate Division, student in the Math and Statistics Majors in LSA

Challenge Description:
A majority of Quicken Loans’ business comes from team members calling customers, understanding their needs, and providing mortgage solutions. We always seek to amaze our clients and an important part of doing that is by reaching out to our clients to establish a relationship while also being respectful of their time. Using the provided Quicken Loans communications data, you will explore this relationship and develop a call schedule model that suggests when/how frequently to contact the client in order to provide them the best possible experience.

Timeline and Format:

At the beginning of the challenge on Monday, March 29, students will receive a pre-cleaned dataset from Quicken Loans. They will seek to answer the provided questions and deliver a powerpoint (and optionally a codebase) by EOD Thursday, April 1. Students will briefly present to our panel of judges on Friday, April 2, and results will be announced on the following Monday. Judges (QL & MIDAS) will use a pre-defined rubric to grade the submissions objectively.

  • 10 UM Student participants: 5 undergrad, 5 graduate
  • 10 QL participants
  • Prizes: A gift card and an internship interview will be provided for the top student in both undergraduate and graduate divisions. All students will be recognized in challenge promotions.