I’m a data science undergraduate from Sri Lanka with hands-on experience building predictive models and transforming real-world data into clear, actionable insights. I enjoy working across the full pipeline—cleaning and preparing data, building regression and classification models, and presenting results through interactive dashboards. Through projects like loan default risk prediction and student performance score prediction, I’ve strengthened my machine learning and data engineering foundations. I also enjoy creating dashboards and applications (including web-based systems) that help users monitor performance and manage information effectively using tools like Power BI, Python, and SQL.

ra sodya rathnaya ke

I’m a data science undergraduate from Sri Lanka with hands-on experience building predictive models and transforming real-world data into clear, actionable insights. I enjoy working across the full pipeline—cleaning and preparing data, building regression and classification models, and presenting results through interactive dashboards. Through projects like loan default risk prediction and student performance score prediction, I’ve strengthened my machine learning and data engineering foundations. I also enjoy creating dashboards and applications (including web-based systems) that help users monitor performance and manage information effectively using tools like Power BI, Python, and SQL.

Available to hire

I’m a data science undergraduate from Sri Lanka with hands-on experience building predictive models and transforming real-world data into clear, actionable insights. I enjoy working across the full pipeline—cleaning and preparing data, building regression and classification models, and presenting results through interactive dashboards.

Through projects like loan default risk prediction and student performance score prediction, I’ve strengthened my machine learning and data engineering foundations. I also enjoy creating dashboards and applications (including web-based systems) that help users monitor performance and manage information effectively using tools like Power BI, Python, and SQL.

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Experience Level

Expert
Expert
Expert
Intermediate
Beginner
Beginner

Language

Tamil
Fluent
English
Advanced
Sinhala, Sinhalese
Advanced

Work Experience

Hospital Management System (Web + Desktop)
January 1, 2019 - Present
Developed both web-based and desktop applications to manage patient records, appointments, and billing within a hospital management system.
Data Science Projects (Machine Learning & Analytics)
January 1, 2019 - Present
Built a logistic regression model in Python (Pandas, scikit-learn) to predict loan default risk, achieving 66% accuracy. Developed student performance analysis dashboards in Power BI using factors such as attendance, study hours, and motivation. Created a machine learning regression model to predict student exam scores based on behavioral and lifestyle data. Enhanced a sales performance dashboard (Blinkit) to monitor sales across products, regions, and time periods.

Education

BSc (Honours) in Data Science at National School of Business Management, Green University
January 1, 2023 - September 17, 2026
G.C.E. Advanced Level Examination at Sanghamitta Balika Vidyalaya
January 1, 2009 - January 1, 2022
G.C.E. Ordinary Level Examination at Sanghamitta Balika Vidyalaya
January 1, 2009 - January 1, 2022
BSc (Honours) in Data Science at National School of Business Management, Green University
January 1, 2023 - September 17, 2026
C.G.C.E. Advanced Level Examination at Sanghamiththa Balakaya Vidyalaya
January 1, 2009 - January 1, 2022
G.C.E. Ordinary Level Examination at Sanghamiththa Balakaya Vidyalaya
January 1, 2009 - January 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Financial Services, Healthcare
    Biker’s Cafe – Modern Restaurant Website

    Designed and developed a modern, responsive website concept for Biker’s Cafe, a motorcycle-themed café in Galle, Sri Lanka.

    The website combines a distinctive biker-inspired visual identity with a clean and user-friendly restaurant experience. It includes a complete food and beverage menu, menu categories, food presentation, image gallery, location information, and contact options.

    Key features:

    • Responsive design for mobile, tablet, and desktop
    • Complete food and drinks menu
    • Menu category navigation
    • WhatsApp food ordering
    • WhatsApp table reservation
    • Restaurant gallery
    • Google Maps/location section
    • Call and contact buttons
    • Modern animations and interactive elements
    • Mobile-friendly navigation
    • SEO-friendly structure

    The project demonstrates my skills in web development, responsive design, UI/UX implementation, and creating practical digital solutions for businesses.