Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 11


DATA SCIENTIST, RESEARCHER
2022 – 2023
-	Technologies: Python, AWS (Lambda, SageMaker, s3, etc.)
-	Development of prediction systems for technical failures of bearings and pumps
-	Development of estimation algorithms for different predictive models comparison
-	Estimation and improvements of early deffects detection
-	Preparing and presenting of resulting decks and dashboards

DATA SCIENTIST, DEVELOPER, PROJECT MANAGER, INNOVATIONS LEAD
March 2018 – 2021
-	Technologies: Python, R, Microsoft SQL Server, C#, Elixir, JavaScript, Microsoft SQL Server
-	Development of Analytical Platform using Nonlinear Dynamical approach and NLP (BERT) combined
-	Development, implementation, support and enhancement of forecasting systems for cryptos, metals and currencies basing on nonlinear dynamics models; creation of own nonlinear forecasting algorithms
-	Parsing and processing pdf documents for market sentiment analysis (BERT)
-	Work on Adverts parsing and processing projects
-	Development of interactive 3D Globe for Economic Data Visualization
-	Developing Web applications for the following systems:
	- Medical data storage system
	- Financial flows system
	- Global hotels booking system
-	Development of interfaces for booking portals
-	Different projects for website optimization and development

SENIOR MATHEMATICIAN, DATA SCIENTIST
August 2016 – February 2018
-	Technologies: R, Python, PostgreSQL
-	Development, implementation, support and enhancement of forecasting systems for sales indices
-	Creation of analytical and forecasting products basing on multi-dimensional nonlinear forecasting, multi-models forecasting systems, nearest neighbors, ridge regression, logistic regression, random forest, cluster analysis, factor analysis, principal component analysis
-	Preparing multiple decks on the project results for the clients

PROJECT MANAGER, ECONOMIC PROCESSES MODELING EXPERT
March 2008 – August 2016
-	More than 30 successful industrial market research projects: market research and modelling, SWOT and COST analysis, market niches identification, market volumes and sales forecasting, etc.
-	Development and implementation of forecasting and classification systems for number of subscribers for information & analytical products; nonlinear system for price forecasts; unique charts format (incl. Cost Curve and others)
-	Optimization models for industrial markets for deep analysis of structure and prospects of the markets
-	Participation in international conferences