* Managed two teams: product analytics and operational analytics & research* Deployed a model for the estimated delivery forecasting with 20% better accuracy. Estimated effect +3 bln rub per quarter * Decreased delivery time by 50% (85th percentile) to 15 days by implementing a detailed reporting system* Developed a ROI-based scoring model for initiatives, leveraging historical features impact on user behavior

* Impact of delivery times and delivery costs on customer behavior has been studied during a series of AB tests. This led to the development of a new corporate strategy* Developed analytical platform for the local sellers* Developed and maintained logistics DWH used across the company

* Increased user engagement on the platform by 10% in CR by development of several ML models (scoring & recommendations)* Implemented an A/B testing framework to streamline feature development and iteration.* Designed and implemented a scalable DWH solution, significantly improving data accessibility and reducing reportinglatency (from weekly to daily basis)

* Managed two teams: data analytics and DWH & data infrastructure* Increased orders on-time delivery by 30 p.p. through development of reporting system for the operations team* The number of open pickup points increased by 2 times using geo-spatial analytics* Created an infrastructure for online and daily reporting for several analytics teams

* Creation of a credit decision-making system for a new banking product* Development of the entrepreneur scoring based on geo-data to optimize costs