Dmitry Zaboronok specializes in developing and implementing marketing strategies grounded in deep market and competitive analysis. He effectively combines web design and development skills, including HTML, CSS, JavaScript, and PHP, to create digital tools that drive business results. Beyond his technical expertise, Dmitry writes expert articles and manages content marketing initiatives to help brands build trust and customer loyalty. Proficient in SEO, SMM, and contextual advertising, he confidently oversees projects across various CMS platforms and graphic editors, ensuring high-quality outcomes.
No negative reviews were found. Clients highlight adherence to deadlines, compliance with technical specifications, and high-quality execution of work such as WordPress layout, SEO audits, and usability improvements. They also appreciate the clear and transparent communication throughout the process.
Skills and Technologies: UX/UI design, web development, content marketing, SEO, Google Ads, analytics, social media management, auditing, and market research.
Projects and Achievements: The candidate developed and implemented EcoWatch, a unified digital environmental monitoring system that optimized the processing of ecological complaints by providing responsible organizations with a structured data flow. While managing social media for the logistics company SalesInUSA, he increased audience engagement and strengthened the brand's image. He also successfully conducted UX/UI and technical audits for various online stores, leading to improved user experience and higher conversion rates. Additionally, the candidate created several landing pages and websites on the WordPress platform and performed target audience analysis to develop personalized marketing strategies.
Recognition: The candidate was named "Master of Words 2024" winner at the Golden Spear competition. His work in content creation and marketing research helped companies gain deeper insights into their customers and improve their market positioning.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.