Timur Talipov Email & Phone Number

Milan, It

- Created a robust framework for step-by-step improvement of an ML model for minimal delivery pricing through a 2-week clean switchback experiment, employing the latest industry and academic practices. This increased revenue by 500 thousand USD and EBITDA by 100 thousand USD monthly.- Developed a dynamic model for paid delivery in the CIS and European markets, resulting in revenue and conversion increases and a 200 thousand USD monthly rise in EBITDA.- Created monitoring dashboards for 400 partners of Dodo Brands that they use daily to track the performance of Paid Delivery and Dynamic Minimal Price projects, utilizing pipelines of Python notebooks and Git across different levels of data structure.- Conducted a wide range of research and lectured on A/B experiments

Almaty, Kazakhstan

-Designed, calculated and presented the results of a wide range of experiments related to Pricing, CRM Marketing, in-app and product features, using A/B, switchback, and DiD methods.- Developed a pricing strategy in Intercity from scratch for 10 countries which led to an increase of up to 10% in GMV- Created an auto ban model for two products and different countries, based on driver’s auto click behaviour through 3rd party apps, which led to an increase of 19% in effective Take Rate.- Designed complex dashboards with unique attribution logic and new metrics that track the Marketplace. Dashboards were later implemented in other business verticals.- Analytically supported a team of Business Development Managers. Automated data extraction processes using Tableau and Python.-Researched users’ and drivers’ behavior patterns and how they influence the marketplace

Moscow, Russia

-Created new pricing concepts and models with further implementation for 11 cities inRussia VUS and Kazakhstan (150 000 rides daily – biggest region for DiDi in Russia).-Worked on adjustment of surge algorithm system for specifics of the markets in Russiaand Kazakhstan, which has led to 22% more rides under Zero Gross Profit Policy in comparison with other regions.

Moscow, Moscow City, Russia

- Created systematic pricing for 8 cities (100,000 rides daily). - Successfully implemented product features like geofence pricing and pricing by hour. - Created dashboards for the analysis of the marketplace. - Helped in the design and analysis of switch-back tests.

Moscow, Moscow City, Russia

-Helped in the implementation of the first CRM system in the company.- Researched business processes and worked with the counterparties.-Introduced analytics of foreign sellers’ profile which led to data-driven changes

Master Of Science - Ms, Economic And Social Sciences

Bachelor Of Arts - Ba, Economics, 8

Bachelor'S Degree, Economics

Exchange semester