~ 6+ years experience in data science, statistical and mathematical modeling.~ Well-experienced in data mining, supervised and unsupervised machine learning methods, for instance, linear and logistic regressions, tree based methods, Discriminant analysis, SVM, cluster analysis, PCA, ICA, etc. ~ Strong background in constructing diverse mathematical models, such as modeling with differential equations and difference equations, stochastic models with Markov Chains (MC), network dynamic modeling.~ Highly skilled in data analysis and data visualization, model selection, cross-validation, assembling and manifold learning methods.~ Research experiences in optimal control theory, stochastic optimization, Monte Carlo method (MCM), sensitivity analysis, parameter estimations in deterministic mathematical models, scientific computing, Markov decision processes. ~ Proficient in programing languages: R, Python, MATLAB, C++, SQL, SPSS, server, HTML, LaTeX, Mathematica, Microsoft office.