Dulya Murage

A self-motivated, enthusiastic final year undergraduate who is passionate about problem-solving, programming and logical thinking. I strive for quality in everything I do and a fast learner who can adapt to new contexts. I believe that commitment towards any challenges is the key to success.

Email: dulyamurage@gmail.com
Phone: +94766764497
Course: CS

Interests: Computer Science | Data Analytics | Computer Graphics | Algorithm & Problem Solving | Information Visualization | Web Design

Technical Skills: Java, C, Python, HTML, CSS, JavaScript, SQL, Angular4

Project Experience

Student Information Management System (SIMS) for UCSC (Java, JavaEE)
Student Information Management system for undergraduates of University of Colombo School of computing

Inventory Control Management System (Java SE, Jasper Reports)
This is a Java based desktop application which manages inventory, sales and reporting of Sadeepa Bookshop.

IFS Project Scheduler (Java, Restful web services, PLSQL)
An inbuilt Project Scheduler for IFS, based on the concept Critical Path Method (CPM) algorithm

IFS Story Map (HTML, CSS, Java (JAX-RS), Jersey)
IFS Story Map is a visualization of workflow which helps to optimize the product plan.

Work Experience

  • Intern Software Engineer at IFS R&D International (Pvt.) Limited from August 2017 to January 2018.

Achievements | Awards

  • Nominated for Best Performance Award in Industrial Placement for the academic year 2017
  • 1st Runner-Up Hackaholics Women’s Only Hackathon, 2016
  • National 2nd place, HackerRank Women’s CodeSprint, 2016
  • IEEEXtreme 10.0 24-Hour Programming Competition, 2016
  • iHack 2.0 Finalist, 2016
  • Certification of Merit High Distinction – Australian National Chemistry Quiz Senior Division, 2011

Final Year Project

An Interactive 3D Metaphor Based Data Drill-Down Framework for Vector-Borne Disease Data Exploration.

(3D Data Visualization, THREE.JS, Dynamic Behavioral Models (State Machine))
Vector-borne disease surveillance is a real time problem which is attended by multidisciplinary stakeholders. The purpose of this study is to address how three-dimensional data exploration of multi-dimensional surveillance data can better assist the stakeholders in the decision-making process of vector-borne disease surveillance. A suitable interactive 3D graphical metaphor and its underlying data exploration mechanism which is based on a dynamic behavioral model (Finite State Automata) will be investigated and introduced.