Changing the way TON and Telegram teams are analyzing their users within the Telegram space.

• Leading the development of a cutting-edge P2P escrow platform that has already facilitated over 10,000 secure and transparent pre-mint transactions.• Implemented a unique escrow service reducing transaction times by 60%, ensuring both buyer and seller confidence in the WL.Market platform.• Actively working on developing reputation-based community-building tools to transform NFT collection engagement and create a lasting impact on the pre-mint market.• Assembled and guided a skilled team of 10 professionals, including software engineers, UI/UX experts, and marketing specialists, to achieve ambitious project milestones on time and within budget.

• Experienced the full software development lifecycle. Utilized tidyverse, ggplot2 and R Shiny to build back-end server architecture and CSS, JavaScript, and HTML for for the front-end design.• Developed 5 user-friendly web applications for scientists who have no prior knowledge in the field of statistics. Applied the math concepts to build linear and logistic regression analysis, bootstrapping, continuous plots analysis, t-test and ANOVA.• Implemented automated tests for each application to improve the QA testing speed by 30%. Utilized usability and unit testing to enhance user-friendliness of the applications.

• Developed and deployed the AWS-based distributed system for SaaS PR start-up.• Coordinated the work of 5 engineers and the outsource staff with product managers during the sprint planning sessions to develop an understanding of the changes and new features required for the application.• Utilized PyTorch and TensorFlow to build a model that used past correspondence to create highly personalized emails for the PR outreach; this increased the response rate by 40%.• Leveraged pandas and semantic analysis to aggregate trends in the media outlets based on the parsed data from HARO, Cision, and Qwoted, and used Plotly to build the trend visualization dashboard for the clients.

• Coordinated the work of 20+ volunteers to deliver daily articles for 170,000 subscribers.• Designed Python-based assignment system to improve work efficiency by 25%. Analyzed incoming workload and utilized Trello and Google Sheets API to distribute assignments based on the availability of volunteers.• Improved user engagement by 12% via Machine Learning solutions. Applied scikit-learn and pandas libraries to model approximate reading time via linear regression. Developed k-NN algorithm for the recommender system. • Applied the calculated statistics to improve the user engagement by 12% via Machine Learning solutions. Utilized scikit-learn and pandas libraries to model approximate reading time via linear regression. Developed k-NN algorithm for the recommender system. • Collaborated with the media to organize the biggest Russian crowdsourcing event ($175,000).

• Created the Russian, English, and Ukrainian translations for 6,200,000 players.• Utilized LQA techniques and streamlined cross-team communication to achieve a 90%+ satisfaction rate for 5 consecutive years.• Applied Python-based algorithms to improve the speed of the outsourcing production cycle by 10%. Developed a solution that automatically breaks translation into perfect chunks for subtitles.

• Creating the Russian, English and Ukrainian translations & subtitles.• Working within a multicultural environment with limited time resources.