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.
• 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.

• 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.
• 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.

• 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.

• 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.
• 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.

• 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.

• 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.

Master'S Degree, Marketing, Gpa 5/5

Bachelor'S Degree, Marketing, Gpa 4.92/5

Activities and Societies: AIESEC