πŸ‘‹ Let’s Get to Know Me Better!

πŸ‡»πŸ‡³ Background

I was born and raised in Northwestern Vietnam β€” the mountainous region of quiet beauty and the most kind-hearted people.

πŸŽ“ Education

RMIT University β€” Melbourne, Australia
Master of Statistics & Operations Research
March 2023 – December 2024

RMIT University Vietnam β€” Hanoi, Vietnam
Bachelor of Logistics & Supply Chain Management
October 2017 – May 2022

🌏 Work Experience

I began as an Operations Intern at Toyota Vietnam, working in the warehouse to ensure spare parts arrived on time, in the right place, quantity, and condition. Maybe I’m biased, but Toyota’s low-tech warehouse management system β€” Kanban(paper cards) β€” could manage complex workflows better than any fancy software.

Later, I joined BSS Group as a Manual Software Tester, writing and executing test plans. As someone new to software development, I was lucky to have incredibly patient and supportive mentors. If I ever get the chance to mentor someone, I’ll strive to be the same.

Both roles were detail-focused and taught me patience. But I craved something more analytical and math-driven β€” so I pursued a graduate degree in Statistics, right after completing my Business degree.

πŸ₯° Some of My Favorite Things

I like to do math, to cook, and to code.
(Yes, in that order.)

🧠 MATH

I solve math problems in my free time β€” I’m a nerd, no doubt! The kind of math I study is statistics β€” not pure math, but a mathematical science nonetheless. I feel incredibly grateful to study math at this level. And as clichΓ© as it sounds: the more I learn, the more I realize how little I actually know.

πŸ’‘ A key result in probability theory underpinning many important statistical applications that deserves more attention

Because AI and machine learning are trending β€” and statistics is their backbone β€” here are some resources on the math of data science (tested and approved by a nerd πŸ€“):

πŸ“ Calculus

πŸ“Š Linear Algebra

πŸ“ˆ Mathematical Statistics

I absolutely adore πŸ“˜ Statistical Inference by Casella and Berger, and I’ve set my sights next on πŸ“— Probability and Measure by Patrick Billingsley.

Attached links are free content available on the internet. But if you want to support the authors, please consider buying the books!πŸ˜‰

🍜 COOKING

My cooking journey began a long time ago. My parents work incredibly hard to provide for us, and as the oldest sister, I naturally found myself in the kitchen early on.

Things really leveled up when I moved to Australia β€” I began cooking exquisite Vietnamese dishes to share my culture with new friends, soothe my homesickness, and explore cuisines from around the world.

My inspiration? This lovely collection from VnExpress. It’s in Vietnamese, but three things transcend all language barriers β€” love, music, and yes… food! ❀️🎢🍲

πŸ’» CODING

I’m still new to coding β€” and feel so lucky that auto-completion, Copilot, and ChatGPT were already around when I began.

My favorite language so far is Java β€” it’s declarative, easy to read, and has just the right amount of strictness to catch bugs early. But the language I’m most fluent in is R, because I study Statistics β€” and R was developed by statisticians, for statisticians πŸ“ˆ.

Arguing about which programming language is β€œbetter” feels a bit pointless to me. Languages are tools, and each serves a different purpose. What matters is what you build with them.

I do wish I’d taken Data Structures and Algorithms in school β€” It’s all good, there’s an abundance of amazing online resources now. πŸ“šπŸ’»