Data mining, analytics, research and development of the decision making and recommendation system (deep learning, clustering, classification, features maps, etc). Prototyping and building advance analytics reports (regression, trend detection, k-means, artificial neural networks in Tableau with R), anomaly detection system using Hierarchical Temporal Memory approach from Nupic (Numenta Platform for Intelligent Computing). Development and amplification of the data science team. The main development environments are R, Tableau, Jira,

TensorFlow/Python, HP database Vertica.

Design and development of the context based algorithm in the field of Brain Computer Interfaces. Successfully implemented cloud based solution as well as client application for Android OS. Creation of innovative EEG based interface for Google Glasses and Attention­Correction system (unification of EEG and tDCS technology) for mining companies with extension for military area. In cooperation with exosphe.re created first part of the leading­edge scientific research bootcamp (An Endogenously­Powered Space Elevator, copernicus.exosphe.re). The main development environments are R, Eclipse (Android/Java), GitHub.

Research, design and implement best practice solutions to data mining problems. Managed all phases of the capacity and performance analyses process, including raw data collection, features detection and extraction using full range of mathematical methods (such as statistics, time­series forecasting, neural network) and reporting results in clear manner to high management stuff. Successfully implemented automated process of data analyses and reporting using R. The main development environments are R, SAS, MS Office, SQL.

Design and implementation of KPI's for project management (based on tools such as saleforce.com and @task) as well as for other areas of financial analyses.

As part of application management support team, I have working out on the model for the automated audit process (stock­taking and qualities of the data, using a mathematical apparatus). Analysis of the existing mathematical processes, models and introducing the offer on their improvement and optimization.

As part of R&D team my main focus was on data analysis, modeling price, demand and other multi dimensional time series related to North American financial market.The main development environments are Matlab, Excel, Python.

As part of R&D team my main focus was on data analysis, modeling temperature dependence of load and other multi dimensional time series, by using state­of­the­art techniques like artificial neural network, fuzzy logic, clustering, and classification. Some of the results were published in research papers. The main development environments are Matlab, Excel.