V P

• Responsibilities Managing analytics and data science teams. Conducting training sessions for client groups, communication with clients, budgeting, product development, analytics automation

• Measures the effectiveness of improvements through deep analysis of data on performance metrics striving for cost-effective high-quality improvements

• Setting up integrations of DMP partners for agency clients

• Creating dashboards on stacks with a full cycle of ETL process

• Experience in Campaign analysis/management and Modeling in the many areas of the business, including Customer: segmentation, engagement, propensity, retention, churn, value, care, and acquisition; Product: simulation, testing, and evaluation; Content: acquisition, pricing, valuation, and recommendation

• Collaboration with external third-party partners to assist with data collection and reporting

• Development of core insights to suggest, create and execute analysis to support fundamental improvements to the customer's site experience Developed products: 1. Flucast epidemic predictor. Based on a machine learning algorithm that can predict flu epidemic within the whole country from 1 to 4 weeks split by region. Avg. accuracy is 94%. One of the largest pharmaceutical company uses forecasts for regular optimization of media campaigns. Potential savings is about 12% of the whole media budget. 2. Ecom parser. Automated script for parsing any open data about client competitors. Data presented in Google Data Studio. 3. Streaming set. Library of 30+ sources of digital data in one place. Ready to export in Data Studio. 4. Social Graph. Image classifier for social media traffic. Based on Tensorflow for social media paid traffic. +27% CTR, +19% CR.