Skills: - project, team and work stream management (incl. plans and budgets) – accustomed to aggressive deadlines - advanced analytics/machine learning (clustering/segmentation, multivariate regression, classification, nonlinear learning algorithms, variable selection, text mining, curve resolution/matrix factorization, exploratory analysis, association rules) - end-to-end analytics process and solution architecture (environment admin, data import/ETL, feature engineering, variable reduction, model building, model management, result dissemination, reporting) - working with various types of data (insurance, customer support, warranty finance, hardware reliability, retail finance, spectroscopy/signal processing). - business intelligence, both traditional and next generation (visual analytics), various areas - data governance, data strategy and data quality management - univariate statistics (design of experiments, biometrics, ANOVA, six sigma, statistical process control) - a wide range of statistical software (SAS - Base, E-Guide, E-Miner, DI Studio, Model Manager, DataFlux; open-source R, Revolution R, Matlab, PLS_Toolbox, Oracle Data Miner, Statistica, Mathematica, SPSS, Minitab); high proficiency in business intelligence (OBIEE), SQL, data modelling (CA ERwin) and data warehousing. Also skilled in environment (server) administration.