Kyle Chong | Project Daedalus

01. Intercepted Transmission

Trained in Computer Science, Deployed at United Overseas Bank and PETRONAS. Occasionally useful at intersecting data, finance, and technology.

Currently on a mission to build a walk-forward optimisation backtesting engine for Bitcoin trading (Project Argus) which is a fancy way of saying I'm teaching a machine to lose money more efficiently. The long game is quantitative finance. The short game is figuring out why my code broke again.

Off-duty, I'm reading manhwa, auditing coffee shops for research purposes, or getting my ego recalibrated in martial arts or video games.

Tech I Supposedly Should Know

Programming Languages

Python SQL R HTML CSS JavaScript

Microsoft & BI Tools

Excel PowerBI PowerApps Power Query

Technology

Docker Git

02. Flight Log

mSix&Partners

Internship

Data Strategist

Oct 2021 — Jan 2022

Rolled out DuitNow QR cashless payments nationwide for PayNet — which involved analysing post-COVID adoption across 100+ merchants and pretending I wasn't terrified of presenting to blue-chip clients like Celcom and Maybank. Also built a virtual showroom web app for Sime Darby Properties. My first time building something that actual humans used, which was both exciting and mildly concerning.

Click a planet to navigate

03. Mission Control

Project Argus

A containerised Walk-Forward Optimisation backtesting engine for Bitcoin trading using Random Forest classifiers. The idea is simple — feed a machine historical price data and let it figure out when to buy and sell. The reality is less simple. Currently my most ambitious project and my gateway drug into quantitative finance, machine learning, and questioning my life choices at 2am.

Python scikit-learn Docker Random Forest Backtesting Quantitative Finance

Project Virtual Air

An air quality forecasting system built on Beijing's pollution data from 2013 to 2017. Pitted four machine learning models against each other — Random Forest, Support Vector Machine, Linear Regression, and Neural Networks — to see which could best predict air quality. My thesis project for my Bachelor's degree, and my first real proof that I could make data do something useful beyond Excel charts.

Python Random Forest SVM Linear Regression Neural Networks KDD Methodology

MAMAPRENEUR

A CSR initiative through UOB's FSTEP programme where we worked with B40 single mothers to expand their business networks and marketing reach. Coordinated across trainees and associates from multiple banks and financial institutions. Secured a Sky Luge brand campaign and retail partnerships that translated directly into income for participants. The rare project where the KPIs actually mattered to real people.

CSR Financial Literacy Stakeholder Management Brand Partnerships SDG Goals

Kyle Chong.