Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

1. Created a system of dynamic analytical reports for various business units (marketing, HR, finance and accounting, support department) and international clients.
2. Salved the trouble of performing routine procedures by simplifying and automating a set of tasks.
3.Organized a team and successfully led the project by acting as a business analyst and project manager.
1.	ML Models creating using Python and R (time series prediction, clustering)
2.	Machine learning methods implementing for clients` problems solution 
3.	Designing, building and deploying BI solutions
4.	Evaluating and improving existing BI systems
5.	Creating visualizations and reports for international industrial projects
6.	Developing data structure for new reports and fixing existing one when deficiencies are discovered 
7.	Supporting ETL & reporting platforms 
8.	Creating and managing streaming analytics jobs
9.	Maintaining SQL Server databases 
10.	Collaborating and participating in Agile project team
The main preference is working in dynamic environment with a tight-knit group of active professionals. The size of the project is not impormant. What does really matter is clear goals and responsibilties.