Huang Jirong

Data scientist and Quantitative Investor/ Trader

School of Knocks & Experimenting

jironghuang.github.io & am no longer maintaining this site here.)

I’m a versatile analyst/scientist that understands the supply chain of Analytics: 1.) Sourcing for raw data (Web-Crawling, Social Media APIs) 2.) Database (SQL) 3.) Analysis (Statistics, Econometrics, Machine-Learning) and 4.) Delivery (Interactive Data visualizations, Automated Reports, Intranet). In addition, I possess strong project-management and communication skills essential in delivering results to stakeholders.

As a curious & keen learner, I strive to improve myself through structured and unstructured learning.

I am currently pursuing a Computer Science Masters in Georgia Institute of Technology. I believe this complements my background in economics, statistics, finance and computer science - as a graduate from NUS Msc. in Statistics, SMU Bsc. Economics & Finance, Uni of Adelaide Gdip in CS, as well as an analytics practitioner.

Given that that issues are increasingly complex, I embrace a multidisciplinary approach in analysing and understanding issues; I’m passionate about data analytics, economics, finance, organisational behaviour and programming.

Over the course of my career, I hope to stay insatiably curious by thinking, learning, experimenting, coding and writing more! My goal of being a polymath is distant but I hope to move closer to it every single day.

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 belief that I should put my money where my mouth is - literally!

Please contact me at jironghuang88@gmail.com 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.

Cheers,

Jirong

Interests

Data Analytics
Quantitative Investing
R package development

Education

Msc in Computer Science, 2021

Georgia Institute of Technology
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

Recent Posts

What're the returns (XIRR) for my CPFIS Portfolio

Mar 16, 2019 5 min read investment

What’re the returns (XIRR) for my CPFIS Portfolio? Every employee in Singapore is bounded by the same set of CPF rules. As an ex-economist/ data geek who doesn’t shy away from having skin in the game. I asked myself this question back in 2015 when I was still a starry-eyed young man 2 years into the workforce - how do I set out to optimize my returns in my CPF OA with these given set of constraints,

Hosting a Flask App on Heroku

Feb 28, 2019 1 min read programming, api, python

Following the steps here –> https://realpython.com/flask-by-example-part-1-project-setup/ I managed to deploy my python flask app in Heroku. from flask import Flask app = Flask(__name__) @app.route('/') def hello(): return "Hello World!" @app.route('/<name>') def hello_name(name): return "Hello {}!".format(name) if __name__ == '__main__': app.run() You may visit the following link –>https://jirong-stage.herokuapp.com/ & add a suffix to it. Example https://jirong-stage.herokuapp.com/jirong & this will return Hello jirong! Possibilites are immense! I can easily create APIs or host dashboard here.

Sampling With Replacement Through First Principles

Feb 27, 2019 3 min read programming, statistics, firstPrinciples

Sampling with replacement Hello! It’s me once again attempting to explain things from first principles - a term popularized by Elon Musk. I will use some psudeo code - on sampling with replacement for weights - to aid my explanation. Earlier in the week, I attempted to write a simple function from scratch but I gave up after realising that it will take me more than 15 mins! Difficulties lies in the multiple switch statements in defining the intervals.

Building a decision tree algorithm from scratch

Feb 15, 2019 2 min read programming

Building a decision tree from scratch Sometimes to truly understand and internalise an algorithm, it’s always useful to build from scratch. Rather than relying on a module or library written by someone else. I’m fortunate to be given the chance to do it in 1 of my assignments for decision trees. From this exercise, I had to rely on my knowledge on recursion, binary trees (in-order traversal) and object oriented programming.

Martingale Strategy - Double Down

Jan 26, 2019 2 min read betting, simulation, programming, risk

Martingale Strategy In this post, I will simulate a martingale strategy in Roulette’s context to highlight the potential risks associated with this strategy. Double down! That’s essentially the essence of it. Here’s a simple explanation of the strategy, The croupier spins the ball. If it’s red you win the amount you bet, black you lose the same amount If you win, you continue to bet the same amount (same as your 1st bet amount) If you lose, you double your bet amount And if your accumulated winnings hits a certain amount, you stop and leave the casino So how would the strategy fare?