Dmitry Gurov

Angestellt, Senior Product Analyst, inDrive

Über mich

Experienced product/data analyst with a unique combination of product, tech and soft skills. Expert in Python, SQL, A/B tests and statistics. Familiar with ML and AI. Passionate about delivering business value through data-driven decisions

Fähigkeiten und Kenntnisse

Python
SQL
A/B
Statistics
Product
Analytics
Tableau
BigQuery
Machine Learning
scipy
sklearn
ClickHouse
SuperSet
Data Science
Business Intelligence
PyTorch
Big Data

Werdegang

Berufserfahrung von Dmitry Gurov

  • Bis heute 1 Jahr und 2 Monate, seit Apr. 2023

    Senior Product Analyst

    inDrive

    - Formulating product hypotheses to improve driver experience, resulted in a +5.2% increase in the daily income of drivers (spanning the entire product funnel from order search to the completion of the ride) - Applying statistical models to grow product key-metrics (LTV/DAU/etс) through data-driven decision making - Pioneering the creation of a driver utilisation metric, establishing it as a focus company-wide key metric, and crafted a roadmap for its enhancement

  • 1 Jahr und 2 Monate, März 2022 - Apr. 2023

    Senior Product Analyst

    Ozon.ru

    - Performing A/B tests for improvement TikTok-like UGC feed inside marketplace mobile app (Social commerce) - Delivering 99% Data Quality rate in local Data Lake through creating daily-base check scripts - Creating methodology for scoring content ranking algorithm based on big data analysis. As result daily time spent increased from 1 to 1.5 minutes per user. - Building user-friendly Tableau reports with product metrics (Retention, ARPU, LTV etc.)

  • 2 Jahre und 5 Monate, Okt. 2019 - Feb. 2022

    Marketing Data Analyst

    Procter & Gamble

    - Promo website UX optimization through A/B testing. Achieved +17% user activity rate (+120k active users monthly) - Traffic and ad-performance analytics which has enabled 200k$ cost saving monthly - Programmatic: Improving quality of categorization machine learning model for segmentation of transactional data. Data utilisation increased from 47% to 84% that had enabled 50k$ saving monthly. DB size = 1BLN+ transactions.

  • 4 Jahre und 2 Monate, Aug. 2015 - Sep. 2019

    IT Helpdesk Specialist

    McKinsey & Company

    - Part-time working student, developing projects to reduce company expenses related to the IT area - Created automation scripts that save up to 40 minutes per day for each IT specialist. - Corporate mobile plan optimization had enabled 20% (10k$) monthly price savings.

Sprachen

  • Englisch

    Fließend

  • Russisch

    Muttersprache

  • Deutsch

    Grundlagen

Interessen

Tennis
Travel
Snowboard
Psychology

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