Dmitrii Popov Email & Phone Number

Barcelona, Ct, Es

Barcelona, Catalonia, Spain

Advertising department- Implemented an ML model to predict CTR in an ad auction that increased CTR by 21% relative to a third-party solution - Developed a model that effectively reduces ad impressions in mobile ad auctions by 30% in exchange for an enhanced user experience without any monetary loss- Conducted a sequence of tests to improve ad placements using waterfall techniques. Worked closely with representatives from two ad platforms, coordinating efforts to facilitate the testing process. This collaboration resulted in a significant 4% increase in third-party advertising revenue- Implemented the use of FBProphet for forecasts within the team, shared expertise with colleagues, and improved advertising revenue forecasts by 5% based on Mean Absolute Error (MAE) metric

Marketing department- Leading the digital advertising direction, onboarding and mentoring a new team analyst through one-on-one communication, task breakdowns, planning sprints and quarters - Established a comprehensive reporting architecture: connected Google Sheets with dictionaries to the DWH, developed APIs for 3 advertising accounts, built a chain of dependent data marts with 20+ metrics, and achieved fully automated reporting in the BI tool Tableau for 10+ marketing managers- Devised an instrument and Python model for predicting marketing effectiveness, enabling budget allocation based on the highest ROI. Achieved a 14% increase in ROI efficiency- Researched channel incrementality using various methods (area under the curve, regional experiments, causal inference) to refine effectiveness, resulting in a 5% expense reduction without losing revenue

Москва, Москва, Россия

- Developed an ML model predicting the probability of customer response to CRM campaigns, resulting in a 6% increase in campaign effectiveness- Automated 9 Excel manual marketing reports by transitioning calculations to Airflow