Himashi Sandamini

A self-motivated undergraduate, capable of learning new things with excellent team working skills and looking forward to succeed in an environment which encourages me to fully utilize my communication, analytical and designing skills while providing me the opportunity for self-development.

Email: sandaminihimashi@gmail.com
Course: IS

Interests: Software Quality Assurance, Business Analysis

Technical Skills: HTML, CSS, MySQL, Selenium Web Driver, Requirement Engineering, Agile Practices

Project Experience

Online Hotel Reservation and Management System( Second year System Analysis and Design Group Project) : This project is based on the concept of providing a software- as-a-service, aimed at hotels to automate their reservation process to promote their services online and to get access to vast customer segment

Helping Hands Web Based System : This is a platform for kidney donors and patients in order to get details on the necessity and availability of a kidney. Kidney patients are facilitated to find compatible donors based on their requirements according to the compatibility of blood group
Dialog ViU (Internship project) : ViU is a mobile and web based application which offers any user to catch TV series and movies of third party media free and legally

Work Experience

Trainee Software Quality Assurance Engineer, Inova IT Systems (Pvt)Ltd. –Sep.2016-Jan.2017
Worked as a part of the agile team where I gained experience on handling client meetings, requirement analysis, test design and execution of Functional, Integration, System and Regression testing.

Achievements | Awards

  • Junior Prefect- Sujatha Vidyalaya ,Matara
  • Sri Lanka Festival of Music Dance and Speech ,2003- Silver medal
  • Nominated for the Best Performance in Industrial Training Program of University of Colombo School of Computing 2016
  • Paper publication in International Journal of Research- Granthaalayah

Final Year Project

The research is titled as Towards a Unified Facial Tissue Thickness Model from Neuroimaging data for Sri Lanka, which aims at evaluating the possibility of devising a unified facial tissue thickness model for the Sri Lankan context using MRIs. Statistical analysis and interpolation techniques will be used to derive missing facial tissue thickness values of the Sri Lankan adult population. The aforementioned unified facial tissue thickness model could be used for Forensic Facial Reconstruction and Facial Sculpturing purposes.