As a self-motivated, committed Information Systems undergraduate, I’m eager to learn and explore new things while being a team player with good attitudes and skills along the path to success.
Interests: Quality Assurance, Product Design, Data Analytics, Computational Biology, Machine Learning, Music, Poetry, Reading.
Technical Skills: Business process modeling, MySQL, HTML, CSS, Selenium Web Driver, Bootstrap, Joomla, Matlab, R, Python
U Survey : A web platform for conducting questionnaire based surveys for University of Colombo (2nd year group project).
Helping Hands : A web platform to make the connection in between the patients who are recommended for a kidney transplantation and the kidney donors who are willing to donate their kidneys upon the compatibility of the blood groups (for the competition ‘Hackaholics 2016’).
Mobile money system review project : Test execution of mobile money management and master data modules. Manually tested the web front end and reported the issue logs and checklist (Internship project).
Data migration review : Financial module of ERP system at a leading educational institute (Internship project).
KPMG Sri Lanka – Trainee Analyst Intern (IT Advisory) (September 2016 – January 2017)
Achievements | Awards
- Final six at Hackaholics- first ever girl hackathon in UCSC (2016)
- Paper published at International Journal of Research – Granthaalayah (2017)
- CCHRM at IPM Sri Lanka – Distinction pass (2016)
- Diploma in English – Aquinas College of Higher Education (2009)
- Colour Winner for best performance and active participation at Taxila Saukyadana Unit – (2011)
- School prefect (2007/2008)
Final Year Project
Towards a unified facial tissue thickness model from neuroimaging data for Sri Lanka
Addressing the scarcity of a study based on the facial soft tissue thickness analysis within the Sri Lankan context, the project aims at evaluating the possibility of devising a statistical model for the facial soft tissue thickness of Sri Lankan adult population with a facial soft tissue thickness database, which can be used as a reference in all facial reconstruction purposes.