Discussion with Equifax

Who: Dan Parzych, Enterprise Data Leader at Equifax

Raj Bondugula, Principal Data Scientist at Equifax

What: Discussion on how Data Science is used in Equifax

Where: Scheller College of Business Room 300

Learn more and RSVP here!

Data Science @ Georgia Tech is thrilled to be hosting Equifax’s Dan Parzych and Raj Bondugula, Equifax enterprise data leader and principal data scientist, this Tuesday, October 18th as speakers in our Data in Industry series.

Equifax’s business requires a mastery of Big Data that they use to create new analytics products from 800 billion business and consumer records worldwide. Dan and Raj are leaders building highly predictive statistical models that process huge volumes of data from a multitude of sources through complex decision routines in fractions of a second, all to meet the needs of a customer. Sounds like something you’d like to know more about? Learn more this Tuesday when Dan and Raj share how their teams uses predictive analytics, decision engines, sub-second response times to make this happen.

This is the Second Speaker in DS@GT’s Data in Industry series and DS@GT couldn’t be more excited than to be continuing this series with Dan and Raj.

Don’t miss this amazing event to learn more about Data Science applications at Equifax from the people who do it every day.

See you there!

What is Data Science?

“War is 90% Information”

– Napoleon Bonaparte

 

The field of Data Science is a melting pot of different domains. At the core of our work as practicing data scientists are the concepts of information compression and storytelling. Our goal is to identify trends and relationships to provide compelling cases for progress.

 

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A good data scientist should have strong programming skills, insights into a domain relevant to a project, and a good understanding of statistical methods. The integration of these skills will allow us to clearly convey messages that are likely to motivate action.

When working with complex systems or phenomena, the data scientist must often operate with incomplete and provisional understanding, even as she works to advance the state of knowledge. This is very much what scientists do. Our post describes how we arrived at recent changes to design principles for the Google search page, and thus highlights aspects of a data scientist’s role which involve practicing the scientific method.

– Unofficial Google Data Science Blog

Below is an article about google’s take on the topic:

http://www.unofficialgoogledatascience.com/2015/10/data-scientist-as-scientist.html

 

 

 

Fall 2016

Welcome back!

We’re looking forward to meeting more aspiring data scientists throughout the semester.

If you happen to be interested in learning more, please fill out the form below.