
Data Science student passionate about machine learning, analytics, and building real-world software solutions with practical impact.
I am a B.Tech Computer Science and Engineering (Data Science) student at Kalasalingam Academy of Research and Education with strong interests in machine learning, data analytics, and software development. I completed a semester exchange program at Tamkang University, Taiwan, gaining international academic exposure in computer science and data-driven learning. I enjoy building practical technology solutions, including AI-based systems, analytics dashboards, and cross-platform applications focused on solving real-world problems through innovation and data-driven approaches.
2 Months
Qualis Technologies, Chennai
Contributed to the development and maintenance of hospital laboratory management software to streamline patient and diagnostic workflows.
Assisted in implementing database operations, report generation, and patient record management functionalities.
Performed software testing, debugging, and issue resolution to improve system performance and reliability.
Collaborated with developers to enhance user interface components and optimize application workflows.
Supported data handling, validation, and system integration activities within the healthcare management platform.
Gained practical exposure to SDLC, database management, and real-time enterprise software development.
2023 - 2027
Kalasalingam Academy of Research and Education
02/2025 - 06/2025
Tamkang University

Developed a cross-platform mobile application with APK deployment support to connect food donors, NGOs, and volunteers for efficient surplus food distribution, using Apache Cordova and Google Maps API. Integrated GPS-based real-time location tracking, donor-NGO connectivity, and route mapping to improve transparency and accessibility in food donation management. Designed a user-friendly mobile interface and optimized workflow management for faster food collection and delivery coordination.

Developed an interactive business intelligence dashboard to analyze Amazon sales data and generate actionable insights for sales performance, customer trends, and category-wise revenue analysis, using Tableau and SQL. Performed data cleaning, transformation, and visualization to track KPIs such as total sales, profit, order trends, and top-performing products. Implemented dynamic filters and visual reports to support data-driven decision-making and sales forecasting.

Developed a machine learning-based web application to predict the likelihood of heart disease using patient health data and predictive analytics. Implemented data preprocessing, feature engineering, and supervised learning algorithms including Logistic Regression and Random Forest to achieve accurate prediction results. Designed an interactive interface for real-time prediction and analysis to support early healthcare decision-making.