14020297_chandimaimalika

Chandima Imalika

A continuous learner who is balanced with both technical and management skills that today’s business world is really searching for and fully capable of working effectively to achieve goals both as a cross-functional team member and individual contributor.


Email: cchandima2010@gmail.com 
Phone: +94717306480
Course: IS

Interests: Software Quality Assurance, Test Automation, Business Analysis,Software Project Management, Technical Writing, Teaching

Technical Skills: Selenium, JMeter, SoapUI, SQL, HTML, CSS, UML, PHP, Python

Project Experience

  • Bonafide Software|Geveo Australasia (Pvt) Ltd. |Aug 2017 – Nov 2017
    This was a Document Management Software.
  •  IPG Software|Geveo Australasia (Pvt) Ltd. |Nov 2017 – Jan 2018
    This was a software which facilitates property buying and selling.
  • Student Management System for UCSC BIT Degree Program|University of Colombo School of Computing|Jan 2016-Dec 2016
    This was a web based system developed in PHP Laravel framework following an incremental development.

Work Experience

Software Quality Assurance Engineer(Intern) |Geveo Australasia (Pvt) Ltd. |Aug 2017 – Jan 2018
Involved in writing test plans, test scenarios, and test cases, designing and executing automation test scripts using
Selenium, component testing, integration testing, smoke testing, regression testing, cloud testing(Azure),
database testing, mobile testing(Android & iOS), usability testing, bug reporting and verification. Also exposed to
the Scrum methodology.

Achievements | Awards

  • Successfully completed ISTQB- CTFL with 92.5% marks
  • Training Course on Software Quality Assurance using Test Automation Frameworks by UCSC
  • Certificate of Merit(High Distinction) at the Australian Chemistry Quiz- Royal Australian Chemical Institute

Final Year Project

Impact of Students’ Interactions on their Learning Achievements in Bit Online Learning Environment: A Data Driven Approach.

This research follows a data driven approach to identify the impact of students’ interactions within the online discussion forums in BIT VLE to their learning achievements in the online assignments. This uses Social Network Analysis together with Statistical Analysis by using tools such as Gephi, Weka and SPSS.