About Me


I use data to solve problems, develop unique insights and communicate them effectively to create tangible value and make a positive impact.



Contact

Email: kailun@u.nus.edu

Skype: ho.kailun


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Education

August 2018 - Present

Industrial and Systems Engineering

  • GPA: 4.80/5.00
  • 3 Year Accelerated Programme (Direct Honors)
  • NUS Global Merit Scholarship
  • Expected Graduation: May 2021

Module Highlights:

  • Programming Methodology / Data Structures and Algorithms
  • Industrial Engineering Principles and Practices
    • Data Analytics and Predictive Modelling in Python
    • Data Visualisation in Tableau
  • Operations Research
    • Linear and Non-Linear Programming
    • Optimization of Graph and Transportation Problems
  • Probability Models / Statistics & Probability

January 2010 - December 2015

Singapore-Cambridge General Certificate of Education Advanced Level

  • 90/90 Rank Points, 7 Distinctions
  • Outstanding Student Award/ Hwa Chong Diploma (Distinction)
  • Co-Chairperson, 7th International Science Youth Forum
    Week-long international conference, attended by 109 international delegates and 6 Nobel Laureates

Work Experience

Dec 2018 - Present

Data Science Intern

Maybank Kim Eng (MKE) is a local stock-broking firm looking to adopt data science into their research process. As MKE's first data science intern, I am responsible for spearheading MKE's thrust towards data-driven investing.

  • Developed a model that forecasts expected stock returns and select stocks using factors correlated to long-term returns. Features were calculated based on historical stock price patterns and financial data.
  • Used robust regression methods to prevent overfitting and ensure reliability of expected return forecasts.
  • Built a portfolio optimization tool that recommends portfolios based on a given risk/return profile.
  • Backtested returns outperformed the index by 1/5 on a risk adjusted basis.

Feb 2018 - Jun 2018

Client Engagement Intern


StashAway is the leading digital investment advisor in Singapore and Malaysia.

  • Introduced StashAway's investment platform to clients and prospective customers.
  • Patiently addressed client concerns during a 4-month period of volatile market conditions, maintaining over 90% customer satisfaction and minimizing customer churn.
  • Built dashboards to track client engagement KPIs and provide actionable insights for client engagement operations and business/product decisions.

Jan 2016 - Jan 2018

Finance Assistant


I served my National Service as a Finance Assistant in a Division HQ.

  • Developed dashboards to track ~900 transactions worth ~$1M/year, providing key stakeholders with a clear picture of expenditures to make informed decisions on unit expenses.
  • Worked closely with event organizing teams to secure funding for Division events.
  • Led a team of Finance Assistants to spearhead Risk and Internal Control Audits.

Projects

SIA App Challenge 2018

Food Waste & Inventory Management System

MKE Hackfest 2018

Data-Driven Investing

Skills

Programming

Python
C++/C
MySQL
VBA
HTML/CSS/PHP

Data Analytics

Data Manipulation
Pandas
Predictive Modelling
Sklearn/Statsmodels
Data Visualisation
Tableau/Matplotlib
Microsoft Excel
Copyright © Ho Kai Lun 2019

Singapore Airlines App Challenge 2018

We developed an integrated suite of solutions to tackle two business challenges faced by Singapore Airlines (SIA) in their operations:

  1. Tracking of unconsumed food & beverages:
    • Developed a Food Package Counting System, using a QR code scanner paired with a proposed hardware design, that automatically tracks and analyses food wastage.
    • Estimated Savings for SIA: $4m p.a. in Food Waste.
  2. Tracking movement of catering inventory:
    • Combining computer vision with intuitively designed hardware.
    • Cutlery Counting System: Using cutlery features (e.g. length, width, prongs) to automatically sort and count cutlery that have been washed.
    • Crockery Counting System: Processed image feed from a camera attached to dishwasher, to classify and count crockery.
    • Estimated Savings for SIA: $3.6m p.a. in Manpower Costs.

Our holistic system automates the process of collecting and analysing inventory and F&B wastage data. Designed to be easily integrated into existing workflows and systems.

Estimated ROI: 6 months - 1 year


Github Repos: Meal Scanner Compiled | Meal Scanner Source | Cutlery Scanner | Crockery Scanner

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Maybank Kim Eng Hackfest 2018

Proposed a framework for data-driven investing and portfolio construction, targeted at retail investors.

A two-part solution involving an (1) Alpha Factors Analyzer and (2) Portfolio Optimizer.

  1. Alpha Factors Analyzer:
    • Using common Alpha Factors (e.g. size, value, momentum etc.) to classify stocks, and provide investors with an intuitive visual representation of stock characteristics at a glance.
    • By regressing Alpha Factors against cross-sectional stock returns, the model is able to provide accurate, out-of-sample, expected risk and return forecasts.
  2. Portfolio Optimizer:
    • Provides investors with an intuitive visualization of portfolio characteristics. The tool also uses Mean-Variance Optimization (MVO) to automatically allocate portfolios given user constraints on expected return, risk and sector/factor exposures.
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