I am very passionate about mathematics and programming. After working in higher education for 7 years, I moved to the private sector to use my mathematical reasoning to help influence business decisions. As an Allstate Data Scientist, I use statistical learning and predictive modelling techniques to improve the performance of our network of roadside service providers. When I was in the education space, I used my programming skills to redesign our web homework system. I also co-lead efforts to reinvent our Contemporary Mathematics course.

Associate Data Scientist, Quantitative Research and Analytics @ In the few short months that I have been at Allstate, I've had the opportunity to look into a rather diverse collection of problems and techniques. For a training project, I built a loss model to predict claims frequency for comprehensive coverage on auto policies. Next, I briefly worked on claims fraud detection. At the same time, I also learned much about distributed computing, including Hadoop, MapReduce, and Spark. Most recently, I have been working with Allstate Roadside Services to help optimize our network of tow service providers. From July 2014 to Present (1 year 6 months) Greater Chicago AreaLecturer in Mathematics @ Taught large enrollment survey calculus and finite mathematics courses Coordinated large courses Supervised teaching assistants Co-developer of the Contemporary Mathematics course Authored and coded hundreds of WebWorK problems From August 2009 to June 2014 (4 years 11 months) Lexington, Kentucky AreaVisiting Assistant Professor @ Taught several sections of calculus courses Developed Geogebra applets to assist in teaching calculus Unpublished research on some graph theory problems From August 2008 to July 2009 (1 year) Greater St. Louis AreaVisiting Assistant Professor @ On Additive Energy and Doubling, Nets Katz and Paul Koester, SIAM J. Discrete Math., 24(4):1684–1693, 2010 Unpublished research on the HRT conjecture Taught calculus courses From August 2007 to July 2008 (1 year) Bloomington, Indiana Area

Doctor of Philosophy (PhD), Mathematics @ Washington University in St. Louis From 2001 to 2007 Bachelor of Arts (B.A.), Mathematics, Physics @ University of Missouri-Saint Louis From 1997 to 2001 Paul Koester is skilled in: Education, Pure Mathematics, Algorithms, Python, R, Apache Spark, Hadoop, Predictive Modeling, Statistical Modeling, Machine Learning, Gremlin, Scala, JavaScript, WebWorK, HTML