Hi, I’m Tuan 🕵️♂️
😎 I am a Data Science Enthusiast and currently working as a Senior Data Analyst at Validus Vietnam.
🎓 Growing up in a small village next to a rice field, I opted to chase equations instead of grasshoppers by diving into math at the age of 10 (though my current math skills might say otherwise 👀). I later graduated with a degree in Accounting & Auditing from the Foreign Trade University, HCMC Campus.
📚 When I’m not doing data, I might be:
learning math/statistics/data stuff;
drinking coffee;
listening to Vietnamese rap/pop rock;
reading sci-fi novels, history books;
playing pool (mostly ten-ball);
training Brazilian jiu-jitsu;
and occasionally traveling or hiking.
Why do I write?
“It has often been said that a person doesn’t really understand something until he teaches it to someone else. Actually a person doesn’t really understand something until he can teach it to a computer, i.e. express it as an algorithm.” 1
Yes, until I can explain the accrual accounting concept to my non-accountant friend or build a pure Python code without dependencies to run a logistic regression, I cannot feel confident that I understand these things.
Also inspired by Andrej Karpathy - a great teacher to me, who always repeats the famous quote “What I cannot create, I do not understand” by Richard Feynman, I create this website to capture my learning journey to understand how things work. Most of content is currently things I am learning, but yeah I’ll also write to share and teach things I know and to get feedback, docendo discimus!
This is some kind of Sandbox learning method and it’s depicted in the picture below:
If you share the same interest, do not hesitate to contact me. I am best reached via Facebook.
This blog will be written in Vietnamese/Tiếng Việt (80%), English (10%), and Mandarin Chinese/汉语 (10%). Attaching a comment tool for my website is a TODO item, I am considering utteranc, and BlueSky.
Footnotes
Knuth, Donald E. “Computer Science and Mathematics: How a New Discipline Presently Interacts with an Old One, and What We May Expect in the Future.” American Scientist, vol. 61, no. 6, 1973, pp. 707–13. JSTOR, http://www.jstor.org/stable/27844074. Accessed 7 June 2024.↩︎