● Prepared weekly and monthly reports on advertising campaign performance (CTR, CPC, CPA, conversions) in Google Sheets; automated calculations and built dashboards, reducing report generation time by 40%. ● Analyzed campaigns in Yandex.Direct and via Report Builder to identify budget optimization opportunities worth over $15K monthly; assessed each channel’s contribution to key product events. ● Managed keyword semantics and negative keywords to increase traffic relevance, reducing non-targeted spend by 25% and monitoring impact on conversion rate and CPA. ● Conducted competitive analysis (bids, ads, search queries, creatives) across 5+ niches and provided actionable recommendations for A/B hypothesis testing, achieving a 20–30% CPA reduction. ● Processed over 50K daily data points using Python (pandas, numpy) to accelerate routine calculations by 60%; prepared optimized data samples for deeper analysis in SQL or BI tools.

● Automated routine tasks in Visual Studio Code, reducing file preparation time by 20%. ● Implemented a QA metrics system, reducing interface inconsistencies by 35%. ● Collaborated with analysts, designers, and product teams; maintained documentation in Google Sheets and Bitrix.