2122T1 TSM/Participant Information/Wong Kin Hou
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Contents
About Your Name
SMU email: kinhou.wong.2018@business.smu.edu.sg
Linkedin or other Social Media: LinkedIn
Academic Year: 2018
Degree: Information systems (Business Analytics Major)
Why Travel Bubble TSM?
- What motivates you to join TSM?
Previously in polytechnic, I engaged an active role in YES! Challenge Ciputra at Universitas Ciputra in Indonesia. Through this 2-week incubator program, I was among a class of fortunate students to assist passionate entrepreneurs from Surabaya in starting up their businesses. These businesses are aimed at helping them create a sustainable life and enhance their standard of living. Through this meaningful project, I have witnessed how startups could change lives.
Above all, I am interested in learning more about startups and how to build one! I believe TSM is a safe and conducive environment to immerse myself in the startup scene. With the partnered companies of TSM in previous years, I am confident that my journey in TSM would be a wide eye-opener!
- If you have a city you do not want to travel, please indicate in this section.
NIL
Starting a business
- What types of business interest you?
Data-solutions businesses are what excites me most. I believe that all entities should continually strive to improve, and a good strategy is to leverage insights from data. One company I am particularly inspired by is Trakomatic.
- What plan do you have in starting a business?
I do not have any immediate plans to start a business. However, I would be interested in venturing into SAAS in the future.
Past Experiences
Start-Up Experiences
- Part-Time Technical Associate @ E-Waves Fishbyte
- Technical Documentation Intern @ 40 Tasks
Other Experiences
- Business Process Re-Engineering Intern @ AIA
- Social Media Analyst Intern @ StarHub
- Ongoing Data Analyst Intern @ Accenture
External
- Goldman Sachs X Ellipsis Hackathon 2020 - 3rd Place
What keeps you ticking?
As an aspiring data analyst, I am eager to apply classroom knowledge to solve real-world problems with data-driven solutions.
