Priyavarshini S
MCA Computer Applications graduate from Vivekanandha Institute of Information and Management Studies
Dharmapuri
About
I am Priyavarshini S, a recent MCA graduate from Vivekanandha Institute of Information and Management Studies, class of 2026. During my studies, I completed projects such as an Android malware detection model using GAN and a real-time chat application with WebSocket API, and gained hands-on experience through internships at Immaculate Technologies and CodeBind Technologies. My strongest skills include HTML5, CSS3, JavaScript, Python, Node.js, and MySQL, along with tools like Git, GitHub, VS Code, and PyCharm. I am seeking my first full-time role as a Software Engineer, where I can apply my technical knowledge and contribute to impactful projects.
Experience
Internship
2025 – 2025Immaculate Technologies
Developed Frontend E-Commerce Dashboard for product management using HTML5, CSS3, JavaScript, and Bootstrap framework. Engineered responsive web design with UI components and data visualization tables for cross-browser compatibility. Implemented JavaScript client-side validation and DOM manipulation for interactive user experience and software functionality.
Internship
2023 – 2023CodeBind Technologies, Thygarayanagar South Nds.O, Tamil Nadu
Developed Real-Time Chat Application as UG Software Development mini project using HTML5, CSS3, JavaScript and WebSocket API. Engineered frontend WebSocket communication for live messaging, user authentication interface, and real-time notification system. Implemented responsive web design using CSS media queries and conducted frontend debugging using VS Code for problem solving.
Education
Vivekanandha Institute of Information and Management Studies
2024 – 2026Master of Computer Applications (MCA), Computer Applications · Grade: 9.2
Sri Vijay Vidyalaya College of Arts and Science
2021 – 2024Bachelor of Computer Applications (BCA), Computer Applications · Grade: 8.658
Dawn Matric Higher Secondary School
2021Higher Secondary Education · Grade: 84%
Projects
Enhanced Android Malware Detection Models Using Explainable GAN
Python, Machine Learning, Deep Learning, GAN, CTGAN
Developed Android malware detection framework utilizing GAN and CTGAN models, achieving 92% classification accuracy. Applied data preprocessing, feature extraction and malware classification on 10,000+ APK samples.
Real-Time Chat Application
HTML5, CSS3, JavaScript, WebSocket API
Developed Real-Time Chat Application as UG Software Development mini project using HTML5, CSS3, JavaScript and WebSocket API. Engineered frontend WebSocket communication for live messaging, user authentication interface, and real-time notification system.
Frontend E-Commerce Dashboard
HTML5, CSS3, JavaScript, Bootstrap
Developed Frontend E-Commerce Dashboard for product management using HTML5, CSS3, JavaScript, and Bootstrap framework. Engineered responsive web design with UI components and data visualization tables for cross-browser compatibility.
Skills
Certifications
Front-End Development using HTML, CSS and Bootstrap
Front-End Development using HTML, CSS and Bootstrap
Python Data Science with MongoDB
Python Data Science with MongoDB
Generative AI Fundamentals
Generative AI Fundamentals
Achievements
University Rank Holder - BCA 2024
2024University Rank Holder
Best Outgoing Student Award - MCA 2026
2026Best Outgoing Student Award
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