Andrey Leonov Email and Phone Number

- Developed and analyzed the pipeline that parses pages of top e-commerce marketplaces and searches for the brands on the pages. The results of the model shows the brands and its competitors shares of the e-commerce market. The model increases campaign conversion by 2%.- Developed the pipeline for making dataset and training attribution models. The model enablesto evaluate channels effectiveness and adjust marketing campaigns weekly, increase conversion by 2-3%.- Developed parser and neural network pipeline that selects users with beards and targeted campaigns. The model increases conversion from social networks traffic by 2-3%.- Developed pipeline for downloading and transforming data from analytics systems which enabled to model TV attribution and increase conversion by 1-2%.

- Developed parser and neural network pipeline that selects users wearing eyeglasses and targeted campaigns. Increased conversion from social networks traffic by 3%. - Developed customized attribution models for the client with very high traffic on the site, which gave insights to change media split proportions and enabled to increase conversion by 2%.- Developed a time-series prediction neural network and predicted flu rates by regions on a weekly basis for the main client of the company. The forecast increased campaigns conversion by 2%. - Developed and supported marketing performance dashboard for campaigns that promote mobile applications, which helped to retain and maintain trustworthy and long-term relationships with the main client as well as increased campaigns conversion by 1%.

- Set up analytics systems on clients’ websites.- Performed analytical and ux audits.- Developed an email marketing strategy that increased conversion + 3% and email list building +50%