LexisNexis

My path to LexisNexis started with a class project for the Data Intensive Open Computing course at FAU, where I used HPCC Systems to run sentiment analysis on tweets.

Once at LexisNexis, that project became Sentilyze, an open-source sentiment analysis library utilizing HPCC Systems, which I presented and demoed at ICMLA 2012.

I built big data visualizations using HPCC Systems, XSLT, and the Google Visualization API.

LexisNexis was, at the time, working to bring machine learning algorithms onto HPCC's parallel processing engine, and I contributed to implementing a couple of them.