Position: Data Scientist/Analyst/ML Engineer
Category: Data Science
English level: upper
Years of experience: 2

Multiple prizewinner of mathematical olympiads and research competitions up to national and international stages. Have scientific and methodical publications.
Helped to increase the performance of existing models at previous work by up to 15 percentage points.  Consolidated various data sources to provide a new fraud validation system. Successfully created an autoML scoring model and implemented it in production, which helped automate a significant part of the scoring analytics processes in the department of the current company.
I have worked in the banking/fintech sector as a data scientist/machine learning engineer for 2 years. I used to make models from scratch to their implementation and provide actualization/validation of existing models to increase their performance. Have a solid knowledge of applied mathematics/statistics.

Primary expertise: classical machine learning algorithms for regression, classification, clusterization problems, anomaly detection, dimensionality reduction, and time-series analysis.
I prefer to work focused on data/statistical analysis and the development of predictive models. Also would be great to provide research and to have the possibility to apply cutting-edge algorithms at work + to participate in interesting and challenging projects.