Quantitative Researcher, Matlab, R, Python
Last active: 14 hours ago
Researcher with an expert knowledge of Matlab programming language and with experience in a wide variety of application types and scientific contexts. Research activity is based on modeling, statistical analysis, machine learning, program coding and simulations. Main instruments in research process are: Matlab, R, Python.
Researching is accompanied by continuous self-training in statistical, financial, IT, mathematical fields.
Machine learning techniques: Decision Trees, Random Forests, Gradient Boosting Machine, Neural Networks, Naive Bayes, Deep Learning, KNN, Extremely Randomized Trees, Linear Regression.
Machine learning tools and packages: Scikit-Learn, Matlab Statistical and Machine Learning Toolbox, H2O, xgBoost, SPM, Weka, Torch7, R (e1071, extraTrees, gbm, ...).
Experience with Matlab, R, Python, Sqlite, Excel, Java, C++, MapReduce, Lua.