Pumudinee Kumarasiri

Enthusiastic and energetic Computer Science undergraduate who values any learning experience and challenge. Focuses on enhancing current technical expertise, creating new skills and achieving organizational goals.

Email: pumudineekumarasiri@gmail.com
Course: CS

Computer Science, Machine Learning, Financial Markets, Research and Development, Toastmaster, Badminton

Technical Skills: 
Java, Python, C, C++, R, Arduino, MySQL, MongoDB, HTML, PHP, MATLAB, WSO2 Siddhi – Complex Event Processing (CEP), Git

Project Experience

Algorithmic Trading Platform
A software solution to create buy/sell signals according to a trading algorithm with features such as make profits, non-detectable and back testing

SIMZ Sales Management Information System for Perera and Sons (pvt) Ltd. Bambalapitiya branch. Stock management, Alert generation, Report generation and handling transactions

Photohibright)Official website for Studio Photo Hi-Bright to showcase their photographs, to maintain the business profile

CNSS WorkersA software solution to manage daily processes (stock management, transaction handling) at CNSS workers

Work Experience

  • Software Engineer Intern at DirectFN (September 2016 – January 2017)

Achievements | Awards

  • Diploma in Information Technology
  • Diploma in English language and Literature
  • Participated IEEE Xtreme 8.0 and 9.0, SLIIT Code Fest (2014), Imagine Cup (2015)

Final Year Project

Order book based market simulation using a state machine

In financial markets, market impact is the effect that a market participant has when he buys or sells an asset. Even though, different methodologies have been carried out in the past few years to explore deep about order book dynamics, those approaches were focused on predicting trader focused parameters such as mid-price or next trade price. Proposed research study focuses on simulating the order book to forecast the market impact caused by a specific buy/sell order. A particular trading algorithm or a trader decision will be able to forecast its’ impact to the real stock market. Market impact would be analyzed through different order book states (Stable/ Upward or Downward).