Web Development
Rating: 3 458
Professionalism: 10
Communication: 10
Last activity: 20.02.2026 16:31

Anastasiya Pilenkova Resume*

Anastasia Pilenkova specializes in creating user-friendly and high-quality websites from scratch, steering clear of templates. Her portfolio includes single-page and multi-page websites, online stores, responsive designs, and projects on Tilda. She emphasizes prototyping, competitor analysis, and a personalized approach to style. Throughout every stage of development—from designing in Figma to meeting agreed deadlines—Anastasia remains communicative and open to discussions.

Reviews

Anastasia Pilenkova is recognized as a highly skilled designer with a strong client focus. Clients consistently praise her for the speed of her work, precise adherence to project specifications, and consideration of all requests. She demonstrates a professional approach, maintains constant communication, and pays great attention to detail. There have been no negative remarks about her work.

Portfolio projects

Skills and Technologies: Graphic design, web design, logo creation, landing page development, and proficiency with the Tilda platform.

Projects and Achievements: The candidate has developed a diverse range of projects, including brochures for educational institutions and professionals, flyers for numerologists, as well as avatars and highlights for furniture companies on Instagram. They have created logos for transportation companies and the "Map of Your City" project. Their web design projects include corporate websites for construction companies and online stores, as well as landing pages for logistics and online services. Prototypes and initial screens for landing pages were developed with a focus on minimalism and modernity.

Achievements and Recognition: The candidate's projects demonstrate an ability to adapt to various styles and client requirements, evidenced by the successful implementation of projects on the Tilda platform and the creation of websites accessible via links.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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