Specialties Statistical and predictive modeling, data mining, data analytics. Statistical analysis and modeling techniques * Model design, development, selection, test, and validation * Regression (logistic, simple, multiple, multivariate), General Linear Models * Time Series analysis; Survival analysis; stochastic process (markov chain) * cluster, decision trees, neural network,variables reduction(factor and principal component analysis) * Simulation and optimization Statistical programming and reporting tools * SAS, JMP, R, SPSS, Matlab,Tableau * Oracle, MS SQL Server, Hadoop * Java, VBA * SAS familiarity -- SAS BI Server on Unix, SAS Management Console; -- SAS Enterprise Guide, SAS Enterprise Miner; -- SAS Add-in for MS Office, SAS Web Information Delivery Portal; -- SAS Base Engine, SAS Scalable Performance Data Engine, SAS/Connect; -- SAS/Access Interface to Oracle, MS SQL Server, and Hadoop (via Hive); -- SAS SQL, SAS Macros, SAS Stored Process, SAS/IML; -- SAS Base, SAS Stat, SAS Graph, SAS GTL, SAS ODS

PhD @ University of California, BerkeleyMS and BS @ Peking University Yanxia Xie is skilled in: Statistics, Statistical Modeling, Predictive Modeling, SAS Programming, Oracle/SQL Server databases, Business Intelligence, Credit Risk, Data Visualization, R, Decision Trees, Healthcare Analytics, Hadoop, Big Data Analytics, Big Data, Credit Risk Modeling