Position: Data scientist
Category: Data Science
English level: intermediate
Years of experience: 1

Python/R:
- natural language processing (gensim, nltk, pymorphy2);
- building neural networks (RNN, FF, LSTM) ​using python (keras, Theano, TensorFlow);
- develop new and using existing​ sentiment analysis program​;
- time series forecasting using neural networks, ARMA, ARIMA, ARFIMA models;
- data mining and analysis with R (forecast, casuality analysis, clusterization).

С/С++
Programs: 
- analysis of fluid flow in a closed region by Ritc method; 
- realtime fluid modeling by the smoothed particles hydrodynamics (SPH) method;
- the program for encoding / decoding a radio signal in simplex and duplex mode, analyzing the signal spectrum;
- text analysis program.
C/C++ - STL, Qt, CMake;
Python - numpy, sympy, pandas, keras. (NLP, NN, RNN);
R - time series analysis/prediction, NLP, kohonen NN;
SQL - MySQL, SQLite, Postgres;
Math - Wolfram Mathematica;
GIT.
1. The possibility of continuous development and increasing of professional skills;
2. Fixed salary;
3. Job in office.