Meet the IORA Family

Research interest Statistics Machine Learning Education NUS – Institute of Operations Research and Analytics (IORA) PhD Candidate  – Aug 17 – Present Research interests are in the areas of Machine Learning, Causal Inference modelling and their Intersections Professional Certifications and Diploma Specialist Diploma in Business Analytics (Temasek Poly) – Aug 2015  Passed CFA Level II –  Jun 2015 National University of Singapore Masters of Science (Statistics) – GPA 4.45/5 University of Western Australia (Crawley Campus) Bachelors of Engineering (1st Class Hons) – GPA 6.69/7 – Jul 09 – Sep 11  High Distinction for Thesis on applications of Control Theory Data Analytic Skills Nonparametric Bayesian Machine Learning Deep Learning for Computer Vision and NLP Web Scraping Computer Skills R, C,C++ Python Theano Spark Hadoop SQL NoSQL Matlab QlikView VBA SAS, SAS Enterprise Miner LaTeX, MS Office, Minitab, SPSS Work experience NCS Pte Ltd Senior Data Scientist, Data Analytics Department                                      – Oct 15 – Aug 17 Seconded to DBS to assist the development of data analytics capabilities for the institutional banking segment of DBS Worked on the full spectrum of a Factoring Risk Monitoring Project, including creating hive queries, QlikView data modelling and design, R scripting and integrating these solutions for production. Assisted and advised on ad-hoc machine learning, visualization and automation projects. Prominent work involved writing a customized EM clustering algorithm to sidestep problems faced with conventional algorithms  helping the team to carve out an analytics project roadmap. Engaged CAAS’s Aeronautical Telecommunications & Engineering Division (AT&E) to identify advanced analytics opportunities Worked closely with the Surveillance Projects Section to develop a big data anomaly detection software Utilized PySpark to process transponder data to detect anomalous flight data transmission Constructed quality metrics and leveraged on Tableau (Reader) to provide low cost and user accessible visualizations Conducted pre-sales activities to understand the customer’s intent and vision Conducted presentations, workshops and active engagements to inform the customer on the Advanced Analytics (AA) landscape, helping them to align their business problems with AA solutions Efforts helped to pave open a project opportunity to enhance CAAS’s transponder processing and reporting capabilities Other key Activities: Rapidly developed a Topic Modelling Deep Learning library to increase value preposition for a project opportunity  Developed an integrated R and C++ “Mixed Distribution Mixture Model” clustering library for the team Developed customized fraud detection algorithms for NCS procurement fraud analytics product suite Actively participated in presales and tender activities, helping to understand customer’s objectives, assess their current capabilities and propose customized advanced analytics strategies to bridge the gaps Accounting and Corporate Regulatory Authority  Product Development (Manager), Information Resource Department       – Jun 13 – Oct 15 Identify opportunities to conduct statistical research and analysis to aid the organization in its policy and decision making process Provided insights and recommendations on policy making and operational process optimization to the Compliance Division by merging, analysing and forecasting huge complicated datasets. Collaborated with the enforcement department to leverage on analytics and visualization tools to raise Singapore’s corporate governance standards. Enhanced the product development process by complementing it with market segmentation theory to sieve out customer segments and analysing their needs. (Won 2nd prize in an internal competition for the project) Coded a range of market segmentation algorithms using new machine learning techniques and models. Fully establishing an array of clustering tools offering a choice of accuracy or speed.  Completed a working paper on: “Customer Segmentation using Dirichlet Process Mixture Models” Strategize and carve out new avenues to proliferate and enhance the use of Singapore’s business data to reduce information asymmetry and facilitate the business community’s inherent self-governance mechanisms. Conceptualized and initiated plans to leverage on cost effective Business Intelligence tools to increase the community’s awareness of ACRA’s rich datasets, understand its complexities and appreciate its economic value. Formulated novel business strategies to boost revenue for cost recovery and future system enhancements. Other notable experience and achievements: Involved in the full process of design, review and UAT of ACRA’s revamped IT systems. These includes ACRA’s intranet, public modules, BizFinx and QlikView Business Intelligence interfaces. Worked and engaged various HODs and colleagues to consult and advise on the adoption of analytic tools. Dyson Operations Pte Ltd  Graduate Mechanical Engineer Analyst, Research Design and Development Department – Nov 11-Jul 12 Advised and develop engineering solutions for the design teams to solve their technical difficulties. Proud to be part of a 2 man team that successfully identified and resolved numerous persistent reliability issues that jeopardized the launch of a new product (Dyson Airblade Tap Hand Dryer). Developed various VBA programs to help increase productivity and streamline operational work. Initiated a project to develop a bearing failure and motor defection detection algorithm to increase root cause failure identification efficiency. Organization and Committee Experience MCCY         – 2014 – 2017 Volunteer Probation Officer, befriending probationers to help steer them back to the right track in life NUS Graduate Students Society     – Aug 12 – Jun 13 Organized Recruitment Talks, Career Seminars and other relevant events for the Careers Committee Mathematics Tuition (Pro Bono)     – Aug 12 – Jun 13 Successfully overhauled my student’s grades and enabled him to enter the express stream of his secondary education University of Western Australia Be With Buddha Society   –  Jan 10 – Dec 11 Participated and assisted in the organization of weekly congregations and various fund raising activities
Working Paper Published Research Papers Smart City Investments under Dynamic Information Acquisition, Keppo, Jussi and Tan, Hong Ming and Zhou, Chao, https://ssrn.com/abstract=3141043. A modification to Pull the Goalie that takes into account the state of play: Coach Markov returns, Zaman, Zia and Tan, Hong Ming, CHANCE, 33(1), 10-15. 2020 – Present 2017 – Present 2015 – 2017 2013 – 2015 2009 2008 Work Experience Learning Facilitator, Emeritus Institute of Management Learning Facilitator at Emeritus for Business Analytics for Strategic Decisions Online Executive Course PhD Candidate, Institute of Operations Research and Analytics, National University of Singapore. Lead for Field Studies of Pilot training Project for a Major Airline Carrier Lead for Demand Modeling and Price Optimization Project for a Major Airline Carrier Lead for Forecasting Possible Quality Issues and Optimal Responses to the Forecasts for a Leading Global Medical Device Company Instructor for DSC5101 Analytics in Managerial Economics Instructor for Executive Education: Leading with Big Data Analytics and Machine Learning Teaching Assistant for DSC5101 Analytics in Managerial Economics Tutor for DAO1704/DSC1007 Decision Analytics Using Spreadsheets Outstanding Graduate Student Teaching Award Graduate Research Student, Department of Mathematics, Faculty of Science, National University of Singapore. Completed Training Programme for Teaching Assistants Tutor for MA1505 Mathematics I Tutor for MA1101R Linear Algebra I Achieved top 20% of all graduate tutors in teaching performance Lecturer, Mathematics and Statistics Division, Temasek Polytechnic. Collaborated with NUS Pharmaceutical Science to create interactive webpages using HTML5 elements and Javascript Co-authored three textbooks Coordinated Online Student Evaluation of Teaching Effectiveness system for the School of Applied Science Subject Leader for the subject “Statistics for Applied Science” Completed Teaching in Higher Education Certificate Completed Data Analytics in Healthcare course Completed WSQ 3D Printing for Rapid Product Development course Administrative Assistant, Office of Undergraduate Programmes, NUS Faculty of Engineering. Organizing Committee of Fourteenth National Undergraduate Research Opportunities Programme 2009 Coordinated Industrial Attachment and Vacation Internship Programme Assisted with Student Exchange Programme Defensive Computer Warfare/Information Assurance Platoon Commander, 18C4 Unit, Singapore Armed Forces, Lieutenant. Managed and oversee the integrity of SAF’s computer and network security Coordinated the audit of Top Secret and Secret classified documents for all SAF Joint forces 2019 2017 2004 Awards National University of Singapore, Department of Analytics and Operations, Outstanding Graduate Student Teaching Award. National University of Singapore, Department of Mathematics, Graduate Programme in Mathematics by Research, Letter of Commendation for Graduate Tutor. Singapore Mathematical Olympiads, Senior Section, Bronze Award. 2017 – Present 2015 – 2017 2009 – 2013 Academic Qualifications PhD Candidate, Institute of Operations Research and Analytics, National University of Singapore. CAP 4.7/5 Master of Science by Research, Department of Mathematics, Faculty of Science, National University of Singapore. Graduate Programme in Mathematics by Research Thesis Title: Investment and the Quantity of Data Analytics Bachelor of Science(Hons), National University of Singapore, Second Class Honours, Upper Division. Applied Mathematics (Primary Major) Economics (Second Major) CAP 4.29/5 Title Supervisor Abstract Master Thesis Investment and the Quantity of Data Analytics Assistant Professor Zhou Chao We study how the characteristics of investors and investment opportunities and the cost of data analytics affect investment decisions and the quantity of data analytics. We derive an explicit formula for the value and optimal quantity of data analytics for risk-adverse investors in a two period model. We show that lower data analytics costs raises leverage and increases the optimal quantity of data analytics, highly risk-averse investors use less data analytics and data analytics is used most with mediocre investment opportunities Title Supervisor Abstract Honours Thesis Apollonian Circle Packings and Doyle’s Spirals Professor Tan Ser Peow This thesis presents a basic introduction to Apollonian Circle Packings and Hexagonal Circle Packings, also known as Doyle’s Spirals. It shows that there is a complex extension of Doyle’s rule for generating Hexagonal Circle Packings analogous to the Complex Circle Theorem for Apollonian Circle Packings. By studying the extension, coherent and virtually coherent Doyle’s Spirals can be found. 2 MATLAB® programs were created to draw Apollonian Circle Packings and Doyle’s Spirals. These programs are executable and are able to run on any 64-bit computer independently from MATLAB®.