Інна

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​ ​ Inna Shchypchyk​
​ ​ Front-End Developer

Contact Information Summary

• [открыть контакты](см. выше в блоке «контактная информация») A dedicated and detail-oriented Front-End Developer with a

• 📍 Chernivtsi, Ukraine strong foundation in web development and a passion for
creating seamless, user-friendly digital experiences. With
• 📞 [открыть контакты](см. выше в блоке «контактная информация») hands-on experience in HTML, CSS, JavaScript, and React, I
specialize in building responsive and visually appealing web
• Inna Shchypchyk applications. I am proficient in development tools such as Git,
Webpack, and Jest, ensuring efficient version control,
• Inna2404
optimized bundling, and reliable testing. My problem-solving
• Inna_shchypchyk​ skills, adaptability, and eagerness to learn enable me to tackle
complex challenges and continuously enhance my technical
expertise. I am committed to writing clean, maintainable code
Technical Skills and contributing to dynamic, collaborative teams.

• JavaScript, TypeScript, Node.js Experience
• HTML, CSS, React Front-End Developer | Freelance (2024 - Present)
• Git, GitHub, Webpack • Developed and maintained single-page applications (SPAs)
• SQL, Jest, npm, yarn for clients, focusing on e-commerce solutions and automation
of business processes using React and TypeScript.

• Implemented API integrations and optimized website
Education performance.

• Front-End Self-Paced Online • Collaborated closely with design and business teams to implement
Program requirements into functional and visually appealing user interfaces.

• Practical React - SoftServe
Academy
Junior Web Developer | Internship (2023 - 2024)
• Front-End - Freelancer for life
• Assisted in developing React-based components and UI features.
• CS50: Computer Science Courses
• Participated in code reviews and debugging processes.
and Programs from Harvard
• Worked with Git and GitHub for version control.​
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Languages Facts About Me

• Ukrainian, • I know what Bubble Sort is and how to implement it.

• English • I understand time complexity (O(n)).