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Data Science Coach
Present Adjunct Lecturer at Institute of Systems Science, National University of Singapore
Past Adjunct Faculty at Singapore Management University
Education University of Adelaide, Master Degree
Resume Information
Tagline:
Data Science Coach
Summary:
Experienced Data Scientist/Analytics Instructor with an MBA degree & 10+ years of relevant experience. Personal research interest in using Data Science to make organizations become efficient & effective and assisting more people to understand & pursue Data Science. Experienced in Statistical Modelling, Credit Scorecard, Business Intelligence, Data Management (ETL process, access rights management and so on) and Text Analytics. Familiar with SAS, R, Python, SQL etc.

Co-founded DataScience.Sg, an interest group on Data Science in Nov 2013, growing it to more than 5000 members within 36 months. Previously a member of SAS User Group Singapore Working Committee for 5+ years & former Chairman of Working Committee, Singapore SAS User Group.

Facilitator for IDA Data Science MOOC Initiative (1st & 2nd Cohort). (http://bit.ly/1lLfj8s) - Spoken to more than 200 people on Data Science. Conducted Analytics Training for banking professionals in T&O and in SAS Institute Singapore. Speaker at meetups such as DataScience SG, Cloud Tech Evangelist,SAS Bites & SAS Forum (http://bit.ly/1vEvP4O) and panelist at General Assembly. Presented papers at SAS Global Forum. Data Ambassador for DataKind Singapore. (http://bit.ly/1Q0vXiP) Mentor & Trainer in SAS-IDA Data Scientist Consultant Programme. Adjunct Faculty @ SMU & Teaching Associate @UniSIM. Participated in creating "Machine Learning with Python" course by Stanford Scholar (http://scholar.stanford.edu/ml.html).

Interest in Economics, Finance, Banking, Business and Ancient China History as well.
Experience:
Company
Institute of Systems Science, National University of Singapore
Job Title
Adjunct Lecturer
Industry
Education
Profession
Training & Dev.
Date
August 2016 - December 2016
Description
- Course Material Preparation for Event Processing Network design and its Building Blocks
- Project Scoping for Event Processing module
- Setting Exam Question
- Exam Marking
Company
Singapore Management University
Job Title
Adjunct Faculty
Industry
Education
Profession
Training & Dev.
Date
July 2015 - December 2016
Description
- Supervising postgraduate students on Analytics/Data Science and Financial Services-Related Projects.

Topics include:
- Using Technical Analysis indicators for trading strategies in China stock market.
- Cross Asset Correlation Analysis.
- Sentiment Analysis on Restaurant Reviews
- Staff Turnover Analysis
- Coupon Purchase Pattern Analysis

- Project grading and feedback on Analytics Framework & Business Context. Providing students feedback on their project and areas they have missed out or can be improve upon.
Company
Data Science Rex Pte Ltd
Job Title
Practicum Director/Co-Founder
Industry
Consulting (IT, Science, Engineering & Technical)
Profession
Training & Dev.
Date
August 2015 - Present
Description
Data Science Rex main focus is to assist companies build up Data Science capabilities in strategic areas so as to continuously reap the benefits of the data they have captured:

For Corporate:
- Consultancy on Building Data Science capabilities
- Mentoring programme to build up data science talents
- Data Science training courses that tailored specifically to clients' needs.
- Data Science research capabilities for companies that are exploring what value Data Science can provide.


For Professionals:
- Data Science training courses to equip professionals with relevant Data Science skills & knowledge, giving them substantial career capital and their respective employers, more value from Data Science.

* Conducted a workshop on using R for Data Science work.
* Involved in Standford Crowd Course Initiative. (http://crowdcourse.stanford.edu/ml.html)
Company
SAS Institute
Job Title
SAS Trainer
Industry
Computer / Information Technology (Software)
Profession
Training & Dev.
Date
July 2015 - Present
Description
Conducting the following SAS training to professionals from organizations such as banks, statutory boards, management consultancy and logistics.

- SAS Programming 1: Essentials
- SAS Programming 2: Data Manipulation Techniques
- SAS Programming 3: Advanced Techniques and Efficiencies
- SAS Enterprise Guide 1: Querying and Reporting
- SAS Enterprise Guide 2: Advanced Tasks and Querying
- SAS SQL 1: Essentials
- SAS Macro Language 1
- SAS Macro Language 2
- SAS Enterprise Guide for Experienced SAS Programmers
- Creating Graphs and Reports in Enterprise Guide
- Forecasting using SAS Forecast Server Software
- Applied Analytics using SAS Enterprise Miner
- SAS Visual Analytics: Getting Started
- Customised Retail Analytics
- Introduction to SAS and Hadoop

- Mentor up to 7 trainees in 4th Run of SAS-IDA Data Scientist Consultant Programme ensuring that they have good understanding of the curriculum and gain useful knowledge that can be used at their sponsoring companies.
- Mentor up to 8 trainees in the 5th Run of the SAS-IDA Data Scientist Consultant Programme.
- Trained more than 25 trainees in 4 cities.
Company
SIM University
Job Title
Teaching Associates
Industry
Education
Profession
Training & Dev.
Date
December 2015 - Present
Description
- Instructor for "SAS Programming and its Application" module
- Analytics Course Material Review
- Course Material Development
- Exam Marking & Moderation Exercise
Company
Singapore Management University
Job Title
Analytics Practicum Manager
Industry
Education
Profession
Training & Dev.
Date
June 2011 - June 2015
Description
- Consulted various industry partners of different Analytics maturity level on how Data Science can assist their organization to be efficient and effective, proposing possible project scope, linking data availability to answering business challenges. Projects accepted and proposed will be assigned to Masters students.

- Co-supervised over 25 MITB student's Analytics Project. Projects include using structured and unstructured data and various industries. Techniques used include Decision Trees, Linear & Logistic Regression, Sentiment Analysis, Social Network Analysis and Natural Language Processing and Optimization. Project examples:
* Potential Claim Fraud Detection
* Retail Branch Risk Profiling
* Behavior Segmentation on Saving Accounts Usage
* Relationship Manager Profiling
* Increase Response Rate of Mail Marketing through Analytics
* Customer Segmentation on Credit Card Spending
* Sentiment Analysis on Credit Card Programmes.
* Profiling & Predicting "No Show" in Specialist Clinics.
* Prediction Model on Credit Card Attrition/Cancellation
* Prediction Model on Long Stayer in Hospital
* ATM Breakdown Analysis and Manpower Assignment
* Review of Restaurant Star Ratings

- Judging and providing feedback on group projects from various modules.
- Conducted training on "Data Analytics & Management", inclusive of course materials development, over 6 runs to more than 190 Banking IT Graduate Associates.
- Involved in planning of Analytics Training Programme for external parties.
- Managed before the overall marketing of the MITB programme (www.mitb.sg), from brochure design, Google Ads, social media platforms & involved in design of MITB gamification platform

Research & Learning
- Statistical modelling, Optimization, Natural Language Processing, Algorithm Design
- Business areas such as: OBHR, Strategic Management, Marketing, Risk Management,
- Gamification, Social Media and Financial Services
- SAS, R, Python and Spreadsheet Modelling
Company
OCBC Bank
Job Title
Credit Risk Analyst
Industry
Banking / Financial Services
Profession
Banking/Financial
Date
May 2010 - June 2011
Description
- Set up reports on Credit Risk of Secured Overdrafts, Term Loans and Revolving Credit by writing SAS codes to extract relevant information.
- Set up reports of Credit Risk on Private Banking Products by writing SAS codes to extract relevant information.
- Regular Credit Risk Reporting and Monitoring of Mortgage Portfolios for both Private Housing and HDB. Writing out the analysis and preparation of further adhoc reports needed for management.
- Stress Testing, Modeling, Simulation and Validation of Statistical Models.
- Stress Testing and Simulation Updates using Statistical Models.
- Written Consumer Credit Risk Newsletters that are circulated to Department Heads.
- Written SAS codes of different difficulty level to answer adhoc enquiries on Mortgage Portfolio.
- Written SAS codes to extract relevant information for MAS Regulatory Reports related to Mortgage Portfolio.
- Preparation of Updates on Mortgage Loans Credit Portfolio for Board Risk Meeting.
- Management and Maintenance of Credit Decision-ing System.
- Attended Fundamental Business Continuity Management Course.
Company
DBS Bank
Job Title
Credit Risk Analyst
Industry
Banking / Financial Services
Profession
Banking/Financial
Date
September 2007 - May 2010
Description
- Regular reporting and monitoring of credit risk on secured and unsecured consumer loan products.
- Behavior and Application Scorecard Performance Monitoring, Reporting and validation.
- Took the lead role in Validation of Scorecard developed by vendor, and team player in Data Management and Maintenance of Documentation of the Scorecard Project.
- Working together with the IT team to design cases for Scorecard Implementation Testing.
- Involved in Scorecard Implementation and System Testing. Also involved in writing the test cases for UAT testing.
- Doing Customer Segmentation to define new market opportunities. Study include using Credit Bureau Scores, Application Scores and Behavior Scores.
- Extract relevant information for and participated in Scorecard Cut-off and Straight-Through-Processing review.
- Monitored Data ETL process ensuring that the datasets are loaded correctly and complete.
- Managing Access Rights of folders
- Liaising with System Administrator and vendors with regards to issues on data server
- Automation of MIS reporting through changes in SAS coding and liaising with SA on server scheduling.
Company
National Institute of Education
Job Title
Research Assistant
Industry
R&D
Profession
Education
Date
October 2004 - June 2007
Description
- Used Statistical Modeling to research on socio-economic status and its impact on education results.
- Used SPSS & SAS to prepare data for statisical modeling.
- Using SAS, SPSS or Lisrel to build statistical models
- Familiar with the following Mathematical/Statistical models:
* Linear & Logistic Regression
* Categorical Data Analysis
* ANOVA
* Principal Component Analysis or Factor Analysis
* Structural Equation Model
* Hierarchical Linear Model
* Item Response Theory
Company
SAS Institute
Job Title
SAS Trainer
Industry
Computer / Information Technology (Software)
Profession
Training & Dev.
Date
March 2006 - September 2007
Description
A total of 730 training hours with average class size of 7 has been conducted for the following courses:

1) SAS Programming I
2) SAS Programming II
3) SAS Programming III
4) Applying Statistical Concepts Using Enterprise Guide 3
5) Querying and Reporting Using SAS Enterprise Guide
6) Applying Statistical Concepts Using SAS

Attended

1) SAS Macro Language
2) SAS Advanced Macro Language
3) Statistics II: ANOVA and Regression
4) Applied Analytics Using SAS® Enterprise Miner
Company
National Institute of Education
Job Title
Research Assistant
Industry
Education
Profession
Education
Date
October 2004 - June 2007
Description
- Used Statistical Modeling to research on socio-economic status and its impact on education results.
- Used SPSS & SAS to prepare data for statisical modeling.
- Using SAS, SPSS or Lisrel to build statistical models
- Familiar with the following Mathematical/Statistical models:
* Linear & Logistic Regression
* Categorical Data Analysis
* ANOVA
* Principal Component Analysis or Factor Analysis
* Structural Equation Model
* Hierarchical Linear Model
* Item Response Theory
Company
Ace Dragon Corp
Job Title
Sales & Admin Executive
Industry
Heavy Industrial / Machinery / Equipment
Profession
Sales - Corporate
Date
February 2004 - May 2004
Description
* cold calling prospects, discussing, persuading and presenting via phone & visits

* liaising with parties from Taiwan and Singapore for equipments products and documents needed for SEMICON 2004

* Designed catalogues and advertisements for company’s product that going to be used for the region.

•* Translation from Chinese to English for catalogues, instruction manual and other publications by the company.

•* Vetting of companies first English Website used for International Markets

•* Able to obtained 60+ prospective clients, ranging from Indonesians to Egypt, during SEMICON 2004, three day event held from 04-06 May, at Suntec Convention Centre

•* Undertanding logistic and supply chain in Singapore.
Education:
School / College
University of Adelaide
Qualification
Master Degree
Faculty
Business
Field of Study
Business Administration/Management
Major
Master of Business Administration
Date
August 2008 - December 2009
Description
Modules completed: Fundamentals of Leadership, Economics, Accounting, Marketing, Corporate Failure and Renewal, Managing Contemporary Organization, Managerial Finance, Global Business, Management of Change, Operations Management, Service Marketing, Strategic Management.

Projects, reports and case studies, both individual and group, done in the many areas such as Analysis of Management Styles, Financial Statement Analysis to discover anomalies, Google Corporate Culture, Improving the Business Process of a Restaurant and so on.
School / College
National University of Singapore
Qualification
Bachelor Degree
Faculty
Social Science
Field of Study
Economics
Major
Concentration on Economics with Mathematics & Minor in Computational Finance
Grade
4
Date
August 1999 - December 2002
Description
Did an Honors Thesis on Unit Trusts and its Investment Strategies. The Honors thesis explores Country/Regional Specific and Sector Specific Unit Trusts and what are the factors/economic indicators that would affect offer a glimpse of the performance of this two types of funds.

The thesis also explore the performance of investment strategies and the risk/return it involves for each of these two types of funds. The investment strategies are dollar costs averaging and lump sum investment.

For Econometric, the group project involves analysing Stocks of Manufacturing Companies listed in the SGX. The project is to find out what are the factors that will affect the performance of these stocks with time lags taken into account.
Languages:
Language
Chinese (Simplified)
Proficiency
Professional Working Proficiency
Language
English
Proficiency
Professional Working Proficiency
Language
Chinese (Traditional)
Proficiency
Native or Bilingual Proficiency
Skills:
Skill
Data Science
Proficient
Professional Working Proficiency
Skill
Analytics
Proficient
Professional Working Proficiency
Skill
Training
Proficient
Professional Working Proficiency
Skill
SAS
Proficient
Professional Working Proficiency
Skill
Statistics
Proficient
Professional Working Proficiency
Skill
Data Mining
Proficient
Professional Working Proficiency
Skill
Statistical Modeling/Machine Learning
Proficient
Professional Working Proficiency
Additional Info:
Interests
Co-founded DataScience SG, one of the largest tech community in Singapore.
Advice for Contacting
* Training
* Speaking
* Teaching
* Consulting
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