Professional skills set at data science, machine learning and artificial intelligence. Strong background of business experience, econometrics, statistics, academic research, business KPI and financial analyses, also in business risk and risk analysis. Programming skills set at python -data science on Anaconda, Azure ML workspace, databricks etc. Latest data science challenges involve solutions related to text analystics, data quality, pricing, market and sales in business applications in corporate environment. Also enjoying using pandas, numpy, scikit-learn, bokeh and orange in applying simple logic tricks to answering complex data challenges.Statistics and econometrics skills developed, applied and constantly upgraded with the latest available theoretical and application techniques, with the use of latest from statsmodels, EViews, SPSS and STATA in creation and implementation of the specific data solutions. Econometric research skills developed and proven in numerous empirical researches, using VAR, VECM, GMM, ARDL, ARCH, GARCH, Monte Carlo, logit, probit etc.. Research domain in marketing, macro economy, finance, monetary, business and banking sector.Business and financial analyses skills set driven by strong academic and practical experience, with techniques optimized for complex data challenges . Part of many use cases of successful Integration of the latest statistic, econometric, and machine learning alghorithams in business challenges.