Product Manager

Sberautopodpiska - a startup with a car subscription model (first in Russia). Acquired by the strategist. I joined in the early (MVP) stage and was responsible for the car loan origination process. • Increased the application-to-subscription conversion rate from 3.1% to 9.4%, creating a self-service origination process • Improved lead capture rates by 10% through the creation of a marketplace platform • Sped up user verification time from 10 days to < 1 day by automated KYC, resulting in a 14% decrease in the refusal rate • Contributed to team building, hiring and managed a 21-member team

Qlean - largest home care super-app in Russia, with more than 100k MAU providing 6 products (such as cleaning, food delivery, etc). I was responsible for platform solutions and CRM. Head of product • Kicked off in-house CRM which handles more than 10k applications daily for 6 different products • Achieved a 5% increase in revenue through the implementation of a cross-sale system for sales managers • Boosted sales volume by 20% by improving UX & UI with CRM based on customer development • Led a 7-member full-stack team, supervised agile rituals, conducted one-on-one, and actively involved in the hiring process

Tinkoff Bank - London stock exchange listed, #2 largest credit card provider in Russia and the world's largest digital bank with more than 35M clients. I was responsible for AI products (chatbot, customer support smart solutions, lifestyle banking). • Launched the best customer support chatbot on the market in the mobile bank app with 5M clients from the idea • Achieved more than 100K DAU from inception in 1 year by implementing chatbot and smart suggestions in the mobile app • Saved 4M EURO in annual operational costs by introducing the chatbot and app improvements across key business lines • Introduced an internal no-code platform enabling the creation and management of over 400 chatbot skills • Managed team up to 30 members: hiring, supervising, road mapping, agile, etc

Investigated and implemented state-of-the-art papers related to NLP problems. Produced production-ready results in intent classification by implementing and improving state-of-the-art papers.