Built an AI department with 10 skilled employees, achieving 0% turnover through training and mentoring programs.- Developed automated Performance and BrandFormance advertising analysis tools, increasing marketing effectiveness by up to 20% for major banks, ECommerce, and Delivery Services.- Created an LTV prediction product, achieving a 17% increase in ROI and an additional $1,000,000 in profit for clients.- Implemented cloud computing and CI/CD practices, reducing computing costs by $30,000 per month.- Established on-premise analytics system for a large bank, handling over 2 billion records per month.- Ensured timely technology implementation to achieve business goals and provided quality training on AI marketing tools for client managers.

We used Python for deep analysis clients users. The result of the analysis was used to form the media strategy with BrandLift KPIs. It allowed the campaign to get highest results, Brand interest increased by 261,6% and brand awareness by 16,3% We used auditory creation product to build campaign with successive impressions within a single story for a single user on YouTube. This led not only to an increase in brand knowledge by 225%, an increase in branded queries by 2 times, but also to an increase in conversion to a purchase on the site by 12%. Thus, roi was 219%We got the status of official support and reseller of Google Marketing Platform in Russia and CIS.Using the functionality of Campaign Manager, we have implemented the link of offline conversions with advertising campaigns aimed at attracting users. This made it possible to optimize the purchase and select channels that performed well in offline purchases. We increased the number of customers by 12% in the first month of the campaignUsing the Python and YouTube APIs, we implemented the functionality of automatically excluding ineffective videos from advertising broadcasts. This has reduced the amount of inefficient procurement by 40% and increased the efficiency indicator by 30%Using data from Google Analytics, Campaign Manager and in-house development have created a system for tracking the increase in branded searches. This made it possible to begin effectively leading campaigns aimed at increasing brand-name searches. Thus, we conducted campaigns with an increase in the number of branded searches by 40% - 250%We created a system of recommendations based on data analysis, which helped to optimize advertising campaigns. This allowed employees at the Middle level to optimize their advertising campaigns at the senior level

We started working with video advertising in retargeting. In some cases, this led to an increase in conversion to a purchase by 20%The increase in the volume of automatic purchases increased the efficiency of advertising campaigns by 15% and reduced the time spent on them by 25%We started creating comprehensive retargeting strategies for our clients. This approach allowed us to increase the average purchase by 40%, and conversion into advertising order by 10%We used DataDriven Banners for Performance ad campaigns, excluding site users. Due to this, we managed to increase the total number of purchases on the client’s website from all channels by 15%, which gave an ROI of 138%.

Optimization of work on your own DSP platformWe implemented an automatic procurement product using algorithms developed by me. This has reduced manual work by 30% and purchasing efficiency by 25%.We launched a video advertisement on the mobile Internet. Correct data in the first months of studying the new format allowed to increase sales due to the new product. After 6 months due to good performance, the volume of video advertising sales accounted for 45% of total revenue.Development of the concept and implementation of interactive advertising has increased the CTR of the advertising campaign by 30%Automating the generation and generation of reports using the Python language has reduced the time spent working on reports by 75%.