Hema Mazhini
Information Technology Graduate
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About
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.
Experience
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
Education
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)
