Nina Dogurevich specializes in website development using Tilda, including landing pages, online stores, and sites with forms and payment options. She also focuses on UX/UI design. In her work, she offers the design of landing pages, prototypes, and design projects tailored to the client's preferences, maintaining constant communication via phone or messaging apps. Each project includes a work plan, a contract, and a secure transaction. Upon completion, an official receipt is provided as a self-employed professional.
Nina Dogurevich is a professional with a solid reputation as a reliable partner. Her key competencies include prompt task completion, often ahead of schedule, high-quality work, and a willingness to make revisions and work with vague technical specifications. She maintains constant communication with clients and has the ability to offer optimal solutions. Proficient in Tilda, she successfully executes projects even with limited budgets. She works without requiring upfront payment, which reflects a high level of trust.
Skills and Technologies: Web design, Figma, development on Bitrix24 and Tilda platforms, creation of landing pages and multi-page websites.
Projects and Achievements: The candidate has successfully developed and launched over 20 websites, including corporate sites, online stores, and landing pages. Key projects include a corporate website for the company "Dvorik," an online clothing store, and websites for dental and legal firms. By utilizing Bitrix24 and Tilda platforms, the candidate has delivered modern, functional, and visually appealing web solutions, such as the Lomonosov learning management system site and a building materials online store.
Achievements and Recognition: The candidate has demonstrated the ability to create websites that not only meet client requirements but also enhance the user experience, as evidenced by the successful launches of sites like Geocore and KrasPromSnabzhenie. These projects highlight his competence in creating effective and attractive web solutions.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.