Responsibilities:- Led and managed teams of Data Scientists and Data Engineers;- Defined the strategy for the development of analytics in the company, planned and prioritized projects;- Was in charge of selecting specialists for teams and their further individual development;- Developed architectures for projects;- Made decisions in the event of controversial technical issues.Key accomplishments:- Conducted the centralization of data into a single warehouse, which accelerated the preparation of data for analytical tasks by orders of magnitude;- Accelerated generation of financial reports by ~100 times (24 sec versus 40 min);- Migrated the analytics infrastructure to a new architecture, completely eliminating legacy, and thus ensuring the stability, scalability, and maintainability of the new infrastructure;- Developed and integrated a system for automatically checking analytical data for correctness;- Prepared, recorded, and taught a training course for analysts on SQL / Git / financial reporting queries.

Responsibilities:- Applied industry knowledge, accumulated experience and B2C product data to build the company's B2B branch and help make key product decisions;- Conducted market research and competitive analysis;- Covered the website and mobile apps with analytics.Key accomplishments:- Built from the scratch all the necessary analytical infrastructure for the product;- Provided the website and mobile apps with the necessary and sufficient coverage of analytical events.

Responsibilities:- Conducted a/b tests from hypothesis to final conclusions and recommendations;- Conducted researches to find points of growth for the product;- Worked with product managers to improve the product;- Regularly assisted colleagues in other departments (pricing / marketing / design) with various analytical requests.Key accomplishments:- Laid the foundation for dynamic ticket pricing, taking into account the requirements of all stakeholders, as well as the technical capabilities and limitations of existing systems;- Developed a prototype service for automatic a/b tests;- Conducted a study of customer interaction with the product loyalty program. Developed and applied a segmentation algorithm based on user behavior as part of the research;- Implemented reporting on multichannel attribution.

- Advised clients on the feasibility of solving company problems and challenges through the use of machine learning;- Developed software systems prototypes to demonstrate the feasibility and potential business value of integrating an idea/method/technology.