Hema Mazhini

Enthusiastic Information Technology graduate with foundational knowledge in Python, Machine Learning, and Web Development. Skilled in developing data-driven applications using Flask and implementing machine learning models for predictive analysis. Experienced in UI/UX design, frontend basics, and content coordination through internships and academic projects. Eager to contribute technical, analytical, and creative problem-solving skills in a growth-oriented IT environment.

Full Stack Development Intern at Gateway Solutions (2024-01 – 2024-12)

• Assisted in developing web-based applications using frontend and backend technologies
• Supported application testing, debugging, and feature implementation activities
• Worked with HTML and CSS to build responsive user interface components
• Collaborated with mentors and team members during development tasks
• Participated in requirement analysis and project discussions
• Successfully contributed to assigned development tasks within project timelines
• Enhanced frontend development and debugging efficiency through practical exposure

UI/UX Designing Intern at Net Solutions (2025-01 – 2025-12)

• Assisted in designing user-friendly interface layouts for digital platforms
• Worked on visual presentation and layout structuring for design projects
• Utilized Adobe Photoshop and Adobe InDesign for creative design tasks
• Collaborated with team members to improve user experience and design quality
• Completed multiple design assignments successfully during the internship period
• Strengthened practical knowledge of UI/UX tools and creative workflows

Project Contributor at Hindusthan College of Arts & Science (2025-01 – Present)

Project: Thyroid Disease Prediction System

• Developed a machine learning-based web application using Python and Flask
• Implemented the Random Forest algorithm for disease prediction and classification
• Performed data preprocessing and analysis to improve model accuracy
• Designed frontend and backend modules for user interaction and prediction handling
• Successfully developed a functional disease prediction web application
• Demonstrated practical implementation of machine learning concepts in healthcare applications

Bachelor of Information Technology in Information Technology – Hindusthan College of Arts & Science (2022-01 – 2026-12)

Higher Secondary Education (XII) – PSG Sarvajana Higher Secondary School (2021-01 – 2023-12)