Ben Ogorek

Experience
CUNA Mutual Group
May 2016 – May 2019
Director of Predictive Modeling

Led predictive modeling transformation that converted 26 legacy SAS models to Spark-based solution directing over $100 million in marketing spend annually. Led teams of up to 15 data professionals. Helped implement a predictive analytics consulting arm for Credit Unions (AdvantEdge Analytics) and worked directly with Credit Union clients.

Google
March 2013 – June 2015
People Analytics Manager

Engineered solutions to improve team productivity and reduce the onboarding time for new team members. Taught analysts how to encapsulate their work using R packages. Drove the adoption of version control within HR Analytics and worked with the version control engineers to implement a custom solution to protect sensitive HR code.  On the talent acquisition side, implemented a resume management solution capable of processing 24 million resumes in parallel.

Nationwide Insurance
2008-2013
Consultant

Key contributor on Nationwide’s enterprise “Model Factory,” an award-winning (2012 CIO 100 award) predictive modeling solution. Listed as co-inventor on multiple resulting patents. Also gained experience in predictive marketing analytics.

Education
North Carolina State University
1999-2008
PhD in Statistics

I started as an undergraduate in 1999 and shortly after declared Statistics as my major. In my senior year I began doing graduate work for the 5-year Master’s program, and the next year I decided to pursue the PhD. My research involved regression, multiple testing, and information sharing, and my thesis was published in article: “Orthology based Multilevel Modeling of Mouse and Human Gene Pairs.” Stat Appl Genet Mol Biol (2009)

Skills
R programming
Running and implementing statistical routines, designing packages
Python programming
Application development, statistical analysis and data processing
SAS Programming
My language of choice at one time, I’m rusty but I can still jump back in when necessary.
SQL Query Writing
I don’t use many advanced features, but my SQL is clean!