Denys Prymak Email & Phone Number

Mexico

• Leading 5 cross-functional teams, fostering collaboration and driving alignment towards strategic objectives.• Mentored and supported cross-functional team managers to enhance their effectiveness and goal orientation.• Developed and executed a comprehensive global product strategy to drive growth and market expansion.• Spearheaded the development and implementation of an Ads serving provider with Real-Time Bidding (RTB), Demand-Side Platform (DSP), and Data Management Platform (DMP) integrations, enabling ad serving on any third-party website.• Implemented a user identification mechanism, increasing identification coverage by over 24 percentage points, enhancing targeting capabilities and ad effectiveness.• Redesigned Ads flow, resulting in a 10% increase in total gross revenue, optimizing monetization strategies.• Developed and launched new product and ad funnels, expanding revenue streams and enhancing product offerings.• Resolved challenging cases that had previously eluded resolution.

• Led 2 cross-functional teams as a team manager and product manager.• Spearheaded the development and implementation of the Landing Platform, overseeing all aspects including internal algorithms, design, and adaptation for seamless integration of third-party partners. Achieved significant results including a partners integration time shortage from 2 weeks to 1-2 hours, available landing variations 4x, the number of integrations with partners 3x. Additionally, normalized audience gathering in the Data Management Platform (DMP) and delivered relevant content on each landing, resulting in a 3% increase in total revenue.• Development of an algorithm for the implementation of advertising sales by the Flat Deals format (fixed amount for fixed price).• Spearheaded the development and implementation of the Data Management Platform (DMP): concept, all internal algorithms, design and adaptation to meet the requirements of a response time below 50 ms.• Integration of the Data Management Platform into the product, streamlining data collection, processing, and audience provision for targeted advertising. Organized continuous controlled testing to evaluate audience value.• Applied clustering algorithms and feature mining using computer vision (CV) to select relevant advertising for the audience, resulting in a 5% increase in total revenue with a 20% coverage.• Facilitated native paid integration with a streaming platform, diversifying revenue streams and capturing up to 7% of the revenue structure.

• Successfully trained and launched 3 behaviorally distinct seq2seq chatbot models using LSTM in TensorFlow, enhancing user engagement and interaction.• Defined topics within text corpora using R, enabling targeted analysis the biggest users pain.• Doubled session length by adding media content into the product, enhancing user experience and engagement. As a result we got +50% to Ads impressions.• Integrated paid funnel into chat, contributing to over 50% of gross monthly paid type monetization revenue since 2020.• Conducted A/B tests targeting activity, retention, and monetization based on thorough product data analysis, facilitating data-driven decision-making.• Developed a template for summarizing A/B test results using Python, streamlining result interpretation and communication.• Created a script for forecasting charges and chargebacks using Python with an accuracy above 90%.• Utilized DeepFM, Random Forest, and Gradient Boosting models for chargeback prediction for cutting risky transactions. Production test showed 70% chargeback rate decline.• Implemented daily reports to provide timely insights into key performance metrics, supporting data-driven decision-making processes.• Optimized aggregation scripts, achieving a 2x reduction in execution time while reducing inner memory requirements by less than 5x, enhancing overall efficiency and performance.

• Developed a beer price elasticity model using R, enabling precise pricing strategies and optimization of revenue streams.• Conducted forecasting and analysis of macroeconomic indicators to assess their impact on market volume, consumption patterns, and price dynamics.• Led comprehensive business analysis encompassing markets, categories, competitors, brands, channels, and regions, providing valuable insights to inform strategic decision-making.• Identified key market trends through in-depth projects, including analysis of the energy drinks market, the craft beer segment, competitors' growth sources, and risks and strategies associated with the AB InBev-Efes merger.• Chaired the assortment committee and spearheaded the "tail" reduction project, minimizing profit loss while optimizing product assortment and profitability.• Evaluated the effectiveness of upsizing cases, informing product development and marketing strategies to enhance customer satisfaction and profitability.• Developed a price segmentation approach to optimize pricing strategies and maximize revenue across diverse customer segments.• Estimated the company's market share and assessed risks for budgeting and mid-year projections, supporting informed financial planning and risk management decisions.• Prepared and presented reports to the headquarters and the board of directors, providing strategic updates, performance insights, and recommendations to drive business growth and profitability.

• Led market share and KPI planning efforts, optimizing strategies to drive growth and achieve performance targets.• Developed comprehensive next-year plans for each brand across all points of sale, considering seasonal and regional factors, utilizing Java and SQLite for efficient data management.• Orchestrated the creation of annual sales plans for the budget year 2017, aligning with organizational goals and market trends.• Implemented monthly sales plans for brands and trade teams, ensuring alignment with overarching business objectives.• Conducted operational analysis and generated reports to provide actionable insights and support decision-making processes.• Managed external data processing from sources such as RTRI and MRC, integrating valuable external insights into strategic planning.• Spearheaded the reorganization of key indicators and algorithms in OLAP cubes, optimizing data structures for enhanced analysis and reporting capabilities.• Initiated and oversaw the project to automate the setting and monitoring of trade marketing tasks for each point of sale, improving efficiency and task management.• Regularly prepared and presented reports to the CEO, CD, and CMO, delivering strategic updates and recommendations to drive business success.

• Conducted comprehensive market analysis including trends, categories, and niche identification.• Developed predictive models to forecast sales levels with and without marketing activities, optimizing resource allocation.• Evaluated efficiency and controlled costs through rigorous analysis and implementation of cost-saving measures.• Designed templates and algorithms for analytical reports, enhancing clarity and accessibility of data-driven insights.• Successfully launched and optimized PPC advertising campaigns on platforms such as Google AdWords and Yandex Direct, driving targeted traffic and maximizing ROI.• Pioneered the development of an algorithm for specific record subtraction in OLAP cubes, streamlining data processing and analysis.• Implemented innovative methods for linking disparate data sources, facilitating comprehensive data integration and analysis.• Prepared and delivered detailed reports to vendors and company management, providing actionable insights and strategic recommendations for informed decision-making.

Master'S Degree, Marketing, Gpa 5/5

Bachelor'S Degree, Marketing, Gpa 4.92/5

Activities and Societies: AIESEC