Kristen Biskobing, Master of Science in Analytics ’17, put herself in the right place at the right time.
In the eight years after graduating with a bachelor’s degree in religious studies and another in math with a minor in physics, she gained a wealth of experience in financial and data analytics, data integration, and engineering, but wanted to learn more in-depth analysis, such as data modeling and machine learning.
She chose Robinson for her master’s degree because of the school’s commitment to connecting students with business.
“They had a lot of hands-on application with outside firms, so you’re getting real life experience as opposed to just classroom theoretical knowledge,” she said.
Last summer Biskobing put her years of experience and newfound knowledge to work as an intern for Cox Communications.
She trained their team in tools and techniques related to the Hadoop system. She also helped gather data sets that haven’t been previously combined to develop Cox’s first predictive analytics model, which addresses customers’ cable or internet issues remotely, reducing the need for technicians to be on site to diagnose and fix problems.
Scott Radcliffe, executive director, data analytics at Cox, said, “The speed at which Kristen took on a real project with deliverables to the organization was truly remarkable. Her performance challenged some of the more experienced team members.”
When the internship ended, Cox invited her to stay on and hired her as a data analyst 4.
For Biskobing, this appears to be the ground floor. As Cox invests more in their advanced analytics department, her skill set only becomes more valuable.