Hello, world!

I am a

Software Engineer, System Analyst, Data Analyst

Name: Tan Joo Siang

Location: Singapore

Email: jsiang@live.com

Phone: +65 81473714

HTML, CSS, JavaScript 95%
Python 80%
Oracle SQL 85%
Java 90%
C++ 70%
C# 60%
PL/SQL 60%
Shell script 50%
Unix command 50%
about me

Dynamic and innovative software engineer with a passion for crafting elegant and efficient solutions. With three years of experience in designing, developing, and maintaining cutting-edge software applications in finance industry, I possess a strong foundation in multiple programming languages and frameworks (e.g. Java spring, Java serlvet, and asp.net)

Skilled in both frontend and backend development, I have a proven track record of successfully delivering high-quality software products on time and within budget. Known for my analytical mindset and attention to detail, I excel at identifying and resolving complex technical issues.

As a collaborative team player, I thrive in agile environments and enjoy working closely with cross-functional teams to achieve shared goals. Eager to contribute my expertise and creativity to a forward-thinking company, I am dedicated to leveraging emerging technologies to drive innovation and deliver exceptional user experiences.

I can?!

write & optimise code, analyse data, design graphic ... 😏

Data Analysis

Web Development

Game Development

System Development

Photography

Graphic Design

education

I did...

published two journal articles (Q1 & Q3)📚 related to my research study..
meanwhile, I also built and created few games during my study *for fun*.🤪

Publication

  1. Joo Siang Tan, Say Leng Goh, Graham Kendall, Nasser R. Sabar. A survey of State-Of-The-Art Optimization Methodologies in School Timetabling Problem. (2020). Expert Systems with Application, 165, 113943.
    https://doi.org/10.1016/j.eswa.2020.113943
  2. Joo Siang Tan, Say Leng Goh, Suaini Sura, Graham Kendall & Nasser R. Sabar. (2020). Hybrid particle swarm optimization with particle elimination for the high school timetabling problem. Evolutionary Intelligence, 1-16.
    https://doi.org/10.1007/s12065-020-00473-x