Kaggle: How Does a Data Science Competition Work?

Start: March 23, 2017 2 p.m.
End: March 23, 2017 3:30 p.m.
Location: Whitinger Business Building

“Kaggle: How Does a Data Science Competition Work? How Can I Place Well?”

Shea Parkes, Principal

2:00 p.m., Whitinger Business Building, Room 214

Kaggle is an online community built around predictive analytics contests.  This presentation will explain how these contests work, and will share tips on how you can compete and do well in one.

Data science talent is in high demand.  You will learn how you can put your skills in computer science, mathematics, statistical research, data processing, or domain expertise into practice as part of a team.

Who should attend?  If you are thinking about adding a second major in Data Analytics, or would like to learn more about this hot new field, this session is for you.

Event will be held in the Whitinger Business Building, room 214.

About Shea Parkes

Shea, a Kaggle Master, is a principal with the Indianapolis office of Milliman. He joined the firm in 2005.  Mr. Parkes has focused heavily on statistical analytics and product development during his time with Milliman.

Common project themes include:

  • Supervised Machine Learning / Predictive Modeling
  • Productization of Successful Analytics
  • Insightful Statistical Visualizations
  • Claim Reserving Methodologies with a focus on estimating Forecast Densities
  • Valuing Interventions via Observational Studies

Shea, has a multitude of technical skills and a strong understanding of many software applications such as R, Python, Spark, SAS, and GitHub.  A Ball State University Mathematical Economics and Actuarial Science alumnus, he earned a Fellow Society of Actuaries (FSA) designation and is a member of the American Academy of Actuaries (MAAA).


Lecture is free and open to the public. Seating is on a space available basis.  No reservations required.

Sponsored by the Information Systems and Operations Management Department