
I turn user data into actions that help products get better. Mix A/B tests, funnel studies, deep data dives, and machine learning to assist product teams create features based on real data. I'm sure think data has a story to tell, and I make sure that story is clear and helps people make the right choices.
Developed a real-time traffic monitoring system. Its basis is the analysis of user behavior in product funnels, the assessment of device and IP address abnormality, as well as the identification of atypical actions that affect key product metrics.
- Сonducting research
- Development and training of ML models
- Development of dashboards for monitoring
- Ad-hoc research at the request of advertisers
- Product metric development
- Presentation and protection of research results, assessment of the impact of the scoring service on advertising revenue on the platform
Key achievements
- Developed an algorithm for detecting bots in advertising traffic
- Reduced the amount of compensation for advertiser claims by 40%
- Developed monitoring tools for support team
I was responsible for finding growth points and evaluating product team initiatives based on data from the mobile app and web services. In the "Cart" team, I analyzed product funnels, conversion factors, and the impact of new features through A/B experiments. In the "Reviews" team, I analyzed customer reviews, applied ML models, and increased the impact of reviews on the key metric of sales conversion.
- Analysis of user funnels and conducting and evaluating A/B tests
- Conducting research to find insights into user behavior
- Development of BI dashboards
- Formulating tracking requirements
- Prioritizing product features through economics, building hypotheses, and measuring the impact of features.
- User segmentation
- Ad-hoc research
Key achievements
Together with the product team, he developed an MVP and launched the “Analytics for MIR Payment System Participants” service in production. He conducted ad-hoc research, designed and analyzed A/B tests, created dashboards, and regularly analyzed product metrics to identify patterns and anomalies. He regularly presented hypotheses and experiment results to stakeholders.
- conducting ad-hoc research
- designing and analyzing the results of A/B tests
- developing dashboards for key product metrics
- regularly analyzing metrics to identify patterns, anomalies, and form new hypotheses
- regularly presenting hypotheses and their verification results to stakeholders
Product Owner with experience in creating and developing digital products: from strategy and market research to launch, analytics, and scaling. Led development and a team of more than 50 people, created a Roadmap, metrics, and conducted experiments.
Key achievements
- I led the product to market leadership with a revenue of 1.7 billion rubles per year (29.2 billion $).
- I developed a strategy and defended it before stakeholders.
- I formed a team and established a full development cycle.
- I created key functionality (billing, CRM, and tactic builder) and reduced churn by 25%.