Welcome to my sandbox.
Through this blog, I hope to share my thoughts on analytics and quantitative investment. The latter is something I’m keeping track of - with skin in the game. It aligns with my core belief that any analysis should be accompanied with corresponding bets with the appropiate risk-rewards ratios - fan of Nassim Taleb in this regard.
See here for my investment framework and performance.
1 of the motivations in starting this blog is for me to think, learn, experiment, code, write and most importantly place well-informed bets/investments through the lens of my models + analysis.
Over the course of my life, I hope to stay insatiably curious. As a curious & keen learner, I’m constantly striving to improve myself through structured and unstructured learning.
Please contact me at firstname.lastname@example.org if we share common interests!
If you’re interested to find out more about what I do, you may find my CV - compiled in latex - here.
Msc in Computer Science, 2021
Georgia Institute of Technology
Executive Programme in Algorithmic Trading, 2021
Gdip in Computer Science, 2018
University of Adelaide
Msc in Applied Statistics, 2016
National University of Singapore
Bsc in Economics and Finance, 2013
Singapore Management University
CFA Level 1, 2012
Chartered Financial Analyst Institute
CMT Level 1, 2011
Market Technicians' Association
As I required some data for my ML assignment, I thought that predicting NBA player salaries based on previous seasons’ game stats would be cool.
Here’re the codes used for crawling the data from basektball-reference and espn.