Eric Vazquez is a skilled data engineer with extensive experience in analytics, predictive modeling, pattern recognition algorithms, time series analysis, and correlation analysis. With over 12 years of software development skills, he is proficient in languages such as C++, Python, Java, and Shell scripting, databases including Teradata, Hive, Elasticsearch, and MongoDB, and libraries such as Boost, Matplotlib, GEANT, GNU Debugger, Insure, and Valgrind. Eric is also adept in software applications like Mathematica, Datameer, and Matlab, and platforms like Linux/Unix, Mac OS X, Windows, MapReduce, and Hadoop. He studied Physics at San Diego State University-California State University, where he earned his B.Sc. degree, and continued his education at Columbia University in New York, obtaining his M.Sc., and Ph.D. degrees. Eric's work experience includes serving as a Data Engineer at Turner (Turner Broadcasting System, Inc), Analytics Manager at American Express, Lecturer, Graduate Student, and Teaching Assistant at Columbia University, and technician at Smith & Nephew.