About
I am a final year Data Science postgraduate student at Macquarie University, an active member of the MQU Business Analytics Club and the Statistical Society of Australia.
My journey into Data Science started with my love for the game Age of Empires, where tracking and analyzing post-game statistics ignited my curiosity about patterns and performance metrics. This interest grew as I blended my engineering and business background to recognize data as an invaluable asset across industries and the key to solving hidden challenges.
Driven by the goal of becoming a capable and proficient Data professional in the next few years, I’ve been engaging in side projects, online learning and Data challenges to continuously refine my skills. I am eager to apply my expertise to help businesses identify gaps, uncover insights, and solve complex problems through data.
Graduating in November 2025, I am actively seeking opportunities where I can contribute meaningfully while continuing to learn and grow, both personally and professionally.
Aside from studies & working on projects, I spend my free time jogging, hanging out with friends & working as a part-time tutor & a florist (Yes, I know how to make the best flower bouquets 🤣).
Experience
Private tutor • Self-employed
Part-time Florist • Bright Flowers
Research Assistant • Pricing & Fairness Lab, Taiwan Tech
Project Manager Intern • Compal Electronics
Engineering Trainee • Techman Robots
Education
Master in Data Science • Macquarie University
Bachelor of Science • National Taiwan University of Science and Technology
Projects
![Screenshot of [On-going] 2025 EY Open Science AI & Data Challenge](/_next/image?url=%2Fey25.jpg&w=3840&q=75)
[On-going] 2025 EY Open Science AI & Data Challenge
Leading a team of 1 data scientist, 2 data analysts to work with satellite, sensor & weather datasets and build a Regression model that predicts the Urban heat island effect. The project not only aims to deliver an applicable ML model for the local policy makers, but also holds a vision to help reducing the impact of urban heating to our world.

Global Disaster Dashboard - MQU DataViz 2024 Winner
Led a team of 4 data analysts, built an interactive dashboard that live updating global disaster data to promote natural disaster awareness and United Nations Sustainable Development Goal 13. Dashboard supports both Desktop and Mobile devices. Winner at Macquarie University DataViz Challenge 2024.

Intel Image Classification
A computer vision project utilizing Convolution Neural Networks. Distinguised 25k+ high similarity images with an accuracy score of >90%.

Data Analysis and Prediction of SpaceX Falcon9 rocket launches
Conducted exploratory Analysis and dashboard visualization of launches data to enhance data-driven decision making. Built 6 different Classification models to predict launch outcomes

AtliQ sales data analysis and dashboard visualization
Data analysis & visualization of 150k+ data points with SQL and PowerBI to determine sales bottlenecks and suggest solutions to stakeholders.
Get In Touch
Get In Touch
Feel free to let me know if you want to say hi, have a question or found something that I can improve!
Website credits to Brittany Chiang's design and Alexander Meikopoulos's source code (Props to their works). I made my customization and fix some bugs/visual issues. Coded in Visual Studio Code. Built with Next.js, Tailwind CSS and Shadcn/ui, deployed with Vercel..