Resume

EXPERIENCE

NTUC ENTERPRISE
Data Scientist, Data Science
Jul 2018 - Present
https://www.ntuc.org.sg

  • Core data science team within NTUC Chief Analytics Office that builds analytic solutions for 10 social enterprises
  • Personalisation - FairPrice Email Recommender & FairPrice Online Search Ranking
    • Built recommendation systems to cross-sell products, improved email CTR by 35% and conversion rate by 21%
    • Built personalised search-ranking service for FairPrice Online using XGBoost, Spring Boot, Guava Cache, Redis
  • Assortment Optimisation - FairPrice Customer Led Category Management
    • Built product category optimiser that incorporates business constraints across 153 physical stores and 95 categories
    • Built SKU optimiser using multi-staged clustering, DeepWalk embeddings and estimated cross elasticity of demand
    • Estimated revenue impact using linear and spline regression
  • Core Data Infrastructure - FairPrice Common Data Mart
    • Led a team of two to build a data layer using star schema, reducing disk storage by 23% and aligned business logic
    • Integrated data science solutions with common data mart, reducing time for deployment from 1 week to a few hours
  • Achieved Top Performer in 2019 and 2020

Technologies: AWS Elastic Compute Cloud (EC2), AWS Elastic MapReduce (EMR), AWS Redshift, AWS Simple Storage Service (S3), AWS DynamoDB, Google Compute Engine, Google Cloud SQL, Google BigQuery, Google Cloud Storage, Google Kubernetes Engine, Oracle Database, LevelDB, Spark, Docker, Elasticsearch, Python, Java, Airflow, MLflow, Django, Springboot, Tableau, BitBucket, Jira, among others.


UBER
Data Analyst, Customer Lifecycle Analytics
Aug 2017 - Jul 2018
https://www.uber.com

  • Regional data engineering and data science across performance marketing analytics, CRM lifecycle analytics, and analytics & insights
  • Clustering of active riders using K-Means Clustering and Self-Organising Maps
  • Understanding the reasons to churn for mature riders using classification models such as Logistic Regression and Gradient Boosting Machine Classifier
  • Time series prediction for post-signup 30 days gross bookings using Gradient Boosting Machine Regressor and pre-signup features
  • Built restaurant leads optimisation model that predicts successful restaurants based on restaurant level geospatial features using XGBoost
  • Built restaurant scorecard for 32 cities and 600 geofences in APAC that evaluates restaurants performance across economics, selection, and operations metrics

Technologies: Python, SQL, Hive, Presto, Vertica, BigQuery, Tableau, Docker, Uber’s Piper (a fork from Airbnb’s Airflow), Git, Phabricator, Jenkins, and Jira, among others.


GOOGLE
Graduate Trainee, Squared Data & Analytics
Jun 2017 - Aug 2017
https://www.google.com

  • Won 1st Place @ Google X Carousell challenge
  • On-site training in Web Analytics, Predictive & Text Analytics, R, Python, Tableau, SQL, and Big Query, among others

Technologies: Python, R, SQL, BigQuery, Tableau, Data Studio, Google Analytics, Google Adwords, and Google Adsense, among others.


FULLERTON FUND MANAGEMENT
Analyst, Multi-Asset Strategies
May 2016 - Mar 2017
http://www.fullertonfund.com

  • Macroeconomics research for Europe
  • Built quantitative investment models: alpha testing, risk parity strategy, bottom-up quantitative, top-down macro cyclical, global FX analytics, technical asset allocation
  • Backtesting of allocation strategies for the central bank of the Philippines investment proposal

Technologies: R, VBA, Microsoft Excel, Bloomberg Terminal, and FactSet.


DYMON ASIA CAPITAL
Analyst, Macroeconomics Research and Strategy
Jan 2016 - Mar 2016
https://www.dymonasia.com/

  • Macroeconomics research across G10 countries, covering commodities, politics, central banks, and Asia bond flows
  • Built algorithmic trading models based on candlesticks reversal technical indicators across G10 currencies, equity indices, and commodities indices

Technologies: VBA, Microsoft Excel, and Bloomberg Terminal.


CITIBANK
Analyst, Global Markets
Jan 2015 - Dec 2015
https://www.citigroup.com

  • Analysed investment earnings and collaterals of major hedge funds across Asia
  • Earnings reports automation for FX Prime Brokerage through the use of VBA
  • Wrote daily market commentary covering macroeconomics

Technologies: VBA, Microsoft Excel, and Bloomberg Terminal.

EDUCATION

NATIONAL UNIVERSITY OF SINGAPORE
Master of Science: Statistics

NANYANG TECHNOLOGICAL UNIVERSITY
Bachelor of Business Administration (Honours): Finance

ESSEC BUSINESS SCHOOL
Overseas Exchange Program

CFA INSTITUTE
Chartered Financial Analyst Program

HONOURS & AWARDS

  • NTUC Enterprise - Top Performer (2019, 2020)
  • Google - Won 1st Place @ Google X Carousell Challenge (2017)
  • Esplanade Theatre - Invitation to present hackathon insights to the upper management (2017)
  • Wealth Management Alliance - Letter of Recommendation (2016)
  • Citibank Global Markets - Most Enthusiastic Intern Award (2015)
  • Nanyang Technological University - Nanyang Award for Teamwork (2015)
  • Nanyang Technological University - Ng Bok Eng Scholarship (2014)
  • Serangoon Junior College - Top Overall Student Award (2010)
  • Serangoon Junior College - Top Science Student Award (2010)
  • Serangoon Junior College - Academic Distinction Award (2010)
  • Serangoon Junior College - Character Development Award (2010)
  • Serangoon Junior College - Top Chemistry Student Award (2009, 2010)
  • Science Arts Company Private Limited - Letter of Commendation (2009)