Aparni Jayawardena

Always it’s my pleasure to be a part of the success environment. Along the journey towards success, I’m keen to apply my knowledge and skills in a practical way to obtain personal experience, as well as to achieve team goals. I’m a friendly team player who can adjust flexibly with the situation

Email: uajaya8@gmail.com
Course: IS

Interests: Business analysis, Product designing, Data analytics, Software Quality Assurance, Computational biology.

Technical Skills: HTML, CSS, PHP, MySQL, , Python, Joomla, Business process modeling, Matlab, R.

Project Experience

Web based Student Management System (SMS) for UCSC : Web based system which provides capabilities to manage student Registration details, Examination details (Examination results, GPA Calculation, Assignment marks), Course details and Report generation.

Helping Hands : Web based platform for kidney donors and patients in order to get details on the necessity and the availability of a kidney, enabling patients to find compatible donors according to their requirements.

Training Management System : Designed to automate the training process of the employees at CEB (Ceylon Electricity Board) aligning with the Scheme of Recruitment and Promotion (SOP) criteria of CEB.

Circuit Bungalow Reservation System (CBRS) : Allow users to conveniently reserve circuit bungalows belong to CEB.

Work Experience

Trainee Business Analyst, Ceylon Electricity Board. (01/09/2016- 01/02/2017)
Experienced on Requirement analysis, System designing, UI designing, Business process modeling and system testing.

Achievements | Awards

• Paper publication in International Journal of Research – Granthaalayah (2017)
• Selected to final six at Hackaholics- first ever girl hackathon in UCSC (2016)
• Australian National Chemistry Quiz – Junior Division – Certificate of Merit (2008)
• Won provincial level awards in Atlas sith ruu art competition (2004) and Sithuvilli Sri Lanka Art competition (2005).

Final Year Project

Towards a Unified Facial Tissue Thickness Model from Neuroimaging data for Sri Lanka.

Within the Sri Lankan context, studies haven’t been conducted to analyze the facial soft tissue thickness values of the Sri Lankan Population. We are aiming to find the possibility of devising a statistical model for the facial soft tissue thickness of Sri Lankan adult population (using MRIs). Also we are developing Facial soft tissue thickness database (by deriving missing values using Statistical analysis and interpolation techniques), which can be used as a reference in Forensic Facial Reconstruction, Plastic surgeries and Facial Sculpturing purposes.