I am a highly motivated versatile undergraduate who is looking forward for a challenging and an interesting career in the field of Business Analysis. I am goal-driven and I enjoy creating history by achieving unique self-set goals.
Interests: Reading, Blogging, Swimming
Office Overview – Panadura Base Hospital – 2016
Office management system for Panadura Base Hospital to handle the letter flow, diet scheduling and HR data recording sections of the administrative branch.
CompSoc Website – Computer Society of University of Colombo – 2016
compsoc.lk – The official website of Computer Society of University of Colombo.
Forestpin Pvt Ltd Website – Forestpin Pvt Ltd – 2017
forestpin.azurewebsites.net – The new website for Forestpin Pvt Ltd
Intern – Forestpin Pvt Ltd – August 2017 — January 2018
● Designed and developed front end of the new company website.
● Documented and created tutorials for undocumented features in Forestpin Analytics software.
● Participated in training sessions for new users/clients to familiarize them with Forestpin features and
applying them in their business contexts (Mobitel and Union Assurance).
● Analysed financial data of client organizations (Central Finance, Fair First Insurance, CBL) as a member
of the Forestpin Analytics Team.
● Participated in client meetings. Presented the summarised analytical findings to the Managing Director
and Senior Management of Central Finance Company PLC.
Achievements | Awards
● Current GPA in IS batch 2013/14 – 3.91 (Reading)
● World University Games 2017 – National University Swimming Team – Athlete Taipei, Taiwan
● SLUSA Colours Winner – Swimming – Sri Lanka University Sports Association 2015/2016/2017
● UOC Colours Winner – Swimming – University of Colombo 2015/2016/2017
○ Best Athlete (Swimming) 2015 & 2016
● Most Outstanding Nalandian of the Year 2013 – Nalanda College, Colombo 10
Final Year Project
A Novel approach to detect muscle strength imbalances via motion analysis using Sensory Inputs
The correct execution of movements in every athlete is essential in the context of sports medicine. Faulty biomechanics can result in injuries that would take a considerable amount of time to recover through rehabilitation. Thus, the domain experts are more focused on injury prevention. Current movement screening mechanisms bear multiple issues. i.e: excessive time consumption, dependency on a domain expert and erroneous observations. Thus, There is a need to evaluate injury risks accurately. The primary purpose of this research is to address the current issues of identification of muscle imbalance by providing a cost-effective, marker-less solution that does not depend on a domain expert.