As DevOps, Data Specialst for the CME Group Foundation Business Analytics lab at Loyola University Chicago - Quinlan School of Business, I am tasked with developing new and innovative approaches to large-scale problems. I am an award-winning researcher on mobile user experience, and have contributed significantly to research ranging in topics from Hurricane Sandy’s impact on the stock markets to brand evolution, specifically that of HBO’s Girls.

On the financial side, I have been working closely with the CME Group on two different projects involving parallel computing and high-frequency trading. The first project requires the implementation of parallel computing to financial models to increase performance and speed of these models. The second project involves CME data in milliseconds (high-frequency trading) where I transform, analyze and build models to identify mispricing. This is a project funded by CME and managed by the Finance Department at Loyola University Chicago.

Skills: Python,Java,Scala,C++,FPGA,MongoDB,MySQL,Amazon Web Services,Distributed Systems,Parallel Computing,Apache Spark,CDH5,Hadoop,Machine Learning,Data Analysis,R,Data Mining,Tableau,RapidMiner,SAS Programming,LaTeX,JavaScript,Bloomberg Terminal,Marketing Research,Survey Design,Statistics