About
Aspiring Data Scientist who just graduated from Macquarie University as a Master of Data Science. Ex-Data Science Intern at NetworkEDGE.
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 learn & enhance my skills. I am eager to apply my expertise to help businesses identify gaps, uncover insights, and solve complex problems using data.
Aside from studies & internship, I spend my free time jogging, hanging out with friends & working as a florist (Yes, I know how to make the best flower bouquets 🤣).
Experience
Data Science Consultant • NetworkEDGE
Data Analytics Research Assistant • Pricing & Fairness Lab, NTUST
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 (NTUST)
Projects
2025 EY Open Science AI & Data Challenge
Led a team of 1 data scientist, 2 data analysts to work with satellite images, sensor data & weather records to build a ML model that predicts the Urban heat island effect. The project not only aims to deliver an applicable AI for the local policy makers, but also holds a vision to help reducing the impact of urban heating to our world. Result: 7th Australia, 67th/10000+ globally.
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.
Activities
ASA Datafest 2025 at Macquarie Uni
Spent 3 days as a mentor in Python/R/Power BI - a fantastic experience working alongside industry experts from CommBank ands NSW Health, fellow mentors and all the incredibly talented undergraduate participants.
Sydney AI + Data meetups
A monthly informal meetup event hosted in Sydney CBD where I usually take part in to meet Sydney's best data/AI professionals to discuss about the latest data tech, the job market and learn more from the expert's wisdom.
The Statistical Society of Australia
The home for Statistics professionals in Australia. Being a part of some SSA events taught me the importance of 'Statistical Thinking' over rote calculation - it’s about the ability to quantify uncertainty in an increasingly unpredictable world.
Vietnamese Student Association at NTUST - Vice President
Helped Vietnamese students in NTUST & Taiwan feel at home during their study abroad. Connected multinational corporates with Vietnamese students for job opportunity. Contributed to bring the Vietnamese culture to Taiwan. Achievement: Brought all student activities of 1000+ annual participants back on track after the epidemic, secured US$10,000+ in sponsorship.
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..