Position: Data scientist, mathematician-researcher
Category: Data Science
English level: upper
Years of experience: 11

My duties:
-  the mathematical formulation of the problem;
- the choice of the method of solving the problem, or development the method based on the existing methods;
- algorithm development, the fulfillment of this algorithm by one of the most convenient languages (MATLAB, Scilab, Python);
-  debugging and transferring to the other specialists for integrating into the finished software product.

2014  – grant holder of the fund named N.I. Akhiezer for young mathematicians of the Kharkov Mathematical Society
Skills.
1)	Correlation analysis, сluster analysis, statistics;
2)	Applied analysis of random data, Time Series Analysis, Spectral analysis (wavelet transform, fast Fourier transform, method of the spectral characteristics);
3)	Machine Learning: linear and nonlinear regression analysis, neural networks, deep learning, group method of data handling,  principal component analysis, singular spectrum analysis, genetic algorithms etc.;
Deep Machine Learning, Convolution Neural Networks end etc.;
4)	Computer vision algorithms: Image manipulation (resize, blurring, filtering),
Image gradients (Sobel, image profiles, 1st and 2nd derivative, Hessian matrix), Image thresholding (global, adaptive), histograms (hist matching, hist construction, hist equalization, CLAHE), Canny edge detector, Hough transform , Morphological operators (erosion, dilation, closing, opening), Contours detection, Corner detection (Shi-Tomasi, Harris), Template matching, Keypoint detection (FAST), Local descriptors (ORB, SURF), Image matching, warping and stitching, Homography, Optical flow and etc.,
OpenCV modules;

5)	Problems of identification (Kalman filtering and etc.), self-learning models, probability models, stochastic control, numerical methods;
6)	MATLAB, MAPLE, Python (Pandas, Numpy, Mathlib and etc.)
7)    SQL
Or I'm ready to learn other programming languages.