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

1. At my last job: the decision making algorithms I created are implemented in production and help to detect mobile install fraud automatically.
2. At my job at eScore Technologies:  developed new bookmaking strategies and investigated them via statistical simulation. The strategies potentially allowed to reduce bookmaker's risk significantly.
3. At my job at the Institute of Radio Astronomy: Has developed new observational strategies for  statistical data processing at the world-largest radio telescope UTR-2. Implemented them into production code in C on Linux platform. These allowed to extract principally new information
from the observational data.
The last job: Senior Data Scientist at Scalarr since August 2018 to April 2020. Developed anti-fraud algorithms
for fraud detection, data exploration and visualisation. Constructed customized statistical indexes for
compact description of large datasets. Implemented the algorithms in Python + SQL on Linux platform.
The algorithms made it possible to detect and explore potentially new types of fraud and to reduce false
positive decisions via rigorous taking of statistical significance into account. Algorithms successfully
work in the production code. Also consulted team members on applied statistics and probability.

The job of interest unites: machine learning, statistics, programming/scripting
1. Makes it possible for me to apply my passions and talents: machine learning, programming, statistics
2. Requires non-standard approaches and tailor-made methods, not a routine reiteration of the same methodology.