Position: Business Analyst
Category: Business Analyst
English level: upper
Years of experience: 1.5

Practical knowledge of UML, BPMN, User Story, Use Cases, implementation of processes of requirements’ elicitation and collecting. Working with Jira, Confluence, Balsamiq, Draw.io, Tilda, WIX, in collecting of requirements.
Fundamental Maths and Statistics knowledge I use to solve practical issues.
PhD degree in Economics, Associate Professor of the Dnipro University of Technology, Department of Economic and Information Technologies.
Has delivered lectures and practical works on high and applied mathematics, economic and mathematical modeling, optimization methods and models at the Dnipro University of Technology, Department of Economic and Information Technology. Have published over 30 scientific works and monographic studies. Is the supervisor of diplomas and scientific works of masters and bachelors. Has taken part in many international conferences.
Helped Canadian and European companies to build a mathematical model to assess their future revenue and sources of profits using Big Data Analyses based on historical patterns and Neural Network prediction.
Scientific interests: Data analytics, econometrics, using of simultaneous equations for modeling macroeconomic indicators; regression analysis, application of mathematics and economics in financial and banking domains, Neural Network prediction and recognition.
I built an economic model to optimize client bills for mobile service in North America. As a result of such optimization, client's bills were reduced approximately by 10 % for more than 2000 clients. 
I conducted the research to estimate expenses to repair schools for native Canadians. 
I estimated effectiveness of site conversion, effectiveness of sales managers.
Target position:	Business Data Analyst,
Business Analyst in Data Science/ Data Analysis domain

I would like to work in the international team, communicate with foreign colleges, bring economic and social value by successfully solving new challenges.