- Recruited a team of data scientists in less than a month Made 16 ML models for retention, conversion to paying user, LTV- Created MVPs for:* models for game thumbnail generation with StyleGAN * player scoring on raw events data with RNN- Communicated with business units about their Data Analysis / Machine Learning / Artificial Intelligence needs, decomposed them into tasks and hypothesis, prioritized them in backlog of the department;- Coordinated DS/ML/AI related communication with other departments of Sber.

- Proposed a Machine Learning-based approach to product analytics, insights and hypothesis generation for the largest Internet Service Provider in Russia;- Build Customer360 datamart for Machine Learning and product analytics;- Introduced reproducibility principles based on literate programming in R/Python. Made reports more reliable and fast.

- Initiated and conducted the Customer Development of the streaming platform wasd.tv, including a nationwide survey of the streaming audience,- Programmed a dashboard with wasd.tv product metrics,- Developed a gamification system for the project,- Conducted educational sessions to develop data driven culture in the department,- Performed ad hoc marketing and product research.

- scoring locations for placement of salons;- churn modeling using graph analysis methods;- segmentation with graph clustering;- prediction of user requests in the call center;- look alike modelling for advertisement segmentation.

I'm doing research projects at the International Laboratory for Applied Network Research on political protests in Twitter, data analysis in dota 2 MOBA, depression detection in vk.com and citation networks in russian sociological journals.

- Developed and implemented methodology for detection of in formal ties among counterparties in on-line social networks for the system of automatic search of fraud, affiliation and conflict of interests RADAR (programmed in Python);- Worked on a methodology of automatic deduplication of postal addresses with machine learning algorithms (C4.5) for the RADAR system;- Introduced semantic technologies for the RADAR system, internal products for automatization of Corporate Intelligence procedures (ASTRUS), forensic data analysis (KDAT), visual analytics (Tableau Software);- Created marketing materials including slides, presentations, reports,etc.;- Internal and external trainings and lectures on data analysis and business intelligence in Social Media

sociology, sociological research methods

Web analytics and Internet Research

Internet research, expert networks, data analysis