Welcome! In this page will you be able to find tutorials, notes, and blog posts written by me!

About Me

I recently graduated from the University of Toronto with a degree in Management and International Business. Although I was born and raised in Toronto, I took the opportunity to travel as the pandemic ended and completed a four-month exchange semester at Singapore Management University in Singapore, studying Quantitative Finance and Banking. After, I completed another exchange semester at National Taiwan University, studying Chinese. Now, I am currently in Hong Kong working in the consulting industry!

I hope to share my experience and what I have learned in this website! Hopefully people who wish to follow a similar path can benefit greatly from my sharings.

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Highlighted Tutorials 📑

I’ve also had the pleasure to be an undergraduate teaching assistant at the University of Toronto, leading me to discover my passion for teaching. I love to make complex topics simple and understandable for any individual! These are some of my first tutorials that I wrote and some of my favourites!

The Derivation of Black Scholes - a deep dive into Black Scholes and how the commonly seen in school formula is derived

The Derivation of Black Scholes - a deep dive into Black Scholes and how the commonly seen in school formula is derived

Derivation of Black Scholes

MGF of the Normal Distribution - an insightful post on MGFs and how they can be used to generate statistical moments of the normal distribution

MGF of the Normal Distribution - an insightful post on MGFs and how they can be used to generate statistical moments of the normal distribution

MGF of Normal Distribution

Solving SOEs using LU Decomposition - an intuitive way working with matrix rules to find the solutions of a system of linear equations

Solving SOEs using LU Decomposition - an intuitive way working with matrix rules to find the solutions of a system of linear equations

Solving a System of Linear Equations using LU Decomposition


Main Tutorials 📑

In addition to the bite-sized tutorials I write that you can find at the bottom, here are some more comprehensive tutorials that provide in-depth guidance and are designed to be easily followed by breaking down complex concepts into easy to follow sections.

Completed

Closed Form Solution for Regression (Normal Equation)

Using Log Likelihoods to solve Maximum Likelihood Estimation Problems

Vector Projections

In Progress

Gradient Descent for Regression

Vanilla Support Vector Machine (SVM) Algorithm

High Level Overview of Reinforcement Learning (RL)

Slowly Changing Dimensions


Travel ✈️

Having traveled to many different countries solo, I'm confident that what I've learned from my experiences will be valuable to you too! Under this section can read all about my travels and my recommendations to!

Diaries

Here’s a collection of my trips and some day by day logs of what I did!

Trips

Recommended Must GO Places!

Lazy to read but want to know the hotspots of where to go? Here, you can direct links of the places I recommend.

Taiwan Must GO!

Singapore Must GO!

Japan Must GO!


Other Notes

Other notes that I have been keeping track of…

Other Notes

Everything I’ve learned in the Past Week Series