A simple overview of my academic background, interests, and professional direction.
I am Poorna Kaushalya, a final-year BSc (Hons) in IT Specialising in Data Science undergraduate at SLIIT. I am interested in software engineering, data science, machine learning, AI-based application development, and full-stack web development. I enjoy solving real-world problems by combining programming, analytical thinking, teamwork, and user-focused design.
My academic and project experience includes machine learning model development, web application development, data analysis, dashboard design, IoT-based monitoring, and research-based healthcare AI solutions.
Currently seeking internship, trainee, and entry-level opportunities in Software Engineering, Data Science, AI/ML, and Full-Stack Development.
My academic journey from school education to higher studies and professional qualifications.
Subhashie Rajakeeya Maha Vidyalaya
Henegama Central National College
Diploma in IT and English International - Pearson
BSc (Hons) in IT Specialising in Data Science - SLIIT
Animated technology cards showing tools used in academic, research, web, dashboard, and AI/ML projects.
Selected academic, research, machine learning, dashboard, mobile, and full-stack projects from my GitHub portfolio.
Developed a multi-modal AI and IoT platform for Knee Osteoarthritis monitoring, combining X-ray KL grading, wearable VAG sensing, and explainable AI support.
Built a smart hostel environmental monitoring system to track room conditions such as temperature, humidity, air quality, occupancy, light level, and energy usage.
Developed a MERN stack class management system with a modern UI for managing students, courses, and academic workflows.
Created a machine learning-based health prediction project to identify heart disease risk using clinical attributes and model evaluation techniques.
Developed a prediction system to analyze loan applicant data and identify possible automobile loan default risk using data science techniques.
Designed a retail data warehouse and BI solution for analyzing transactional data, sales patterns, customer behavior, and business performance.
Created an employee attrition and performance dashboard to support HR decision-making through visual analytics and KPI-based insights.
Implemented a time series analysis project to study stock price trends and support forecasting using historical market data.
Built a PHP-based online bus reservation system for managing routes, bookings, passengers, and reservation workflows.
Developed a web-based system to manage pet healthcare records, accessories, and customer interactions with an interactive UI.
Java-based system to manage school data including students, teachers, classes, and academic records efficiently.
Android note-taking application built using Kotlin with modern UI components and local data storage.
Hands-on experience in AI, IoT, Full-Stack development, and Data Engineering through research-driven and real-time intelligent systems.
Led the development of KneeCare , a multi-modal AI and IoT platform for Knee Osteoarthritis monitoring combining X-ray KL grading, wearable VAG sensing, TinyML, and explainable AI.
Designed and implemented Smart Hostel IoT System , an IoT-based environmental and energy monitoring system with analytics dashboard and intelligent alert reasoning.
Developed scalable MERN applications such as Class Management System to manage academic workflows with modern UI and backend APIs.
Built a complete data warehouse and BI solution in Retail Transactional Data Warehouse BI Project for analyzing customer behavior, sales trends, and business KPIs.
A timeline of my academic growth and hands-on experience in AI, IoT, Full-Stack Development, and Data Science.
Built strong foundations in programming (Python, Java, JavaScript), databases, statistics, and software engineering principles. Developed problem-solving skills through algorithms, OOP, and database systems.
Applied knowledge through real-world projects including full-stack web applications, machine learning models, IoT systems, and data visualization dashboards. Built scalable systems such as Class Management System and Smart Hostel IoT System.
Contributed to healthcare AI research by developing KneeCare, a multi-modal system combining X-ray KL grading, wearable VAG sensing, deep learning models, IoT (ESP32), and explainable AI for medical decision support.
Focused on building intelligent real-world systems combining AI, IoT, Data Engineering, and Full-Stack Development. Actively seeking opportunities in Software Engineering, Data Science, and AI/ML Engineering roles.
Degree: BSc (Hons) in IT Specialising in Data Science
Career Interests: Software Engineering | Data Science | AI/ML Engineering | Full-Stack Development
Technical Skills: Python, JavaScript, React, Node.js, Machine Learning, Deep Learning, Data Analysis, IoT Systems, Power BI
Contact: poornakaushalyagamage@gmail.com
Knee Osteoarthritis Prediction and Severity Grading System using X-ray images, MRI images, clinical data, wearable sensor data, and AI-based decision support systems. Built as part of the KneeCare research project.
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