Rustambek Umarov

Angestellt, Principal Product manager, VK
Berlin, Deutschland

Fähigkeiten und Kenntnisse

Product
E-Commerce
Machine Learning
Bank
B2B
User Experience
Analytics

Werdegang

Berufserfahrung von Rustambek Umarov

  • Bis heute 4 Jahre und 4 Monate, seit März 2021

    Principal Product manager

    VK

    VK which was known as Mail.ru Group is one of the biggest russian internet company with services in different spheres: clouds, Ed.Tech, social networks, e-commerce etc. I work at e-commerce at vk classifieds and youla.ru services with DAU 4 million users. -Increased user engagement in real estate categorie by 8% -Increased DAU platform by 15% and ad base by 26% by competitive analysis and changing monetization strategy

  • 1 Jahr und 7 Monate, Sep. 2019 - März 2021

    Senior Product Manager, Machine Learning and Data Science

    SBER

    Sber is the largest fintech company in Russia with 102 million b2c customers and 2.9 million b2b customers. My results at Sber: -Increased revenue by 9% in b2b products in-app and online by implementing real-time recommendations -Increased revenue by 11% in the post-application call process by implementing a next-best action model -Implementing a database with 100+ features for use in machine learning models by 10+ teams

  • 10 Monate, Jan. 2019 - Okt. 2019

    Product Manager, Data Science and Machine Learning

    Citi Private Bank

    -Implemented infrastructure for machine learning models -Implemented a machine learning model in marketing communications for City Bank of Russia. Email open rate increased by 18%. -Implemented 2 machine learning models in trigger communications for customer upsells. Saved 22% in costs for these communications

  • 2 Jahre und 2 Monate, Jan. 2017 - Feb. 2019

    Product Manager

    Tinkoff Bank

    Tinkoff is the best fintech in the world according to Digital bank award 2020 with 19 million customer -Increase effectivity of acquisition business process in credit card for traveleres by 27% -Increased acquisition rate by 24% on secondary credit cards by implementing a classification model -Increased success rate by 11% on partner credit cards by implementing partner data fraud detection system

  • 2016 - 2017

    Data Scientist

    Yandex

    As Data Scientist at Yandex I worked on machine learning and analytics in Yandex.Market

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