About Me
I am an experienced data analyst / scientist with over 11 years of expertise in leveraging data-driven methodologies to tackle real-world business challenges.
My strong analytical mindset and collaborative approach enable me to work effectively with cross-functional teams. I have a proven track record in end-to-end predictive modeling, interpreting extensive datasets and transforming data into actionable insights that drive business success.
Technical Skills: Machine Learning, Statistics & Probability, Data Wrangling / ETL, Data Visualisation, Time Series Analysis, Time Series Analysis, Natural Language Processing (NLP), Experimentation & A/B Testing, Explainable AI
Soft Skills: Critical thinking, Research, Collaboration, Time management, Communication
Data and Analytics Tools/Languages: SAS, Python, R, SQL, Tableau, QlikSense, Cloudera Data Science Workbench, AWS
Data Science Frameworks: Scikit-Learn, Tensorflow, Keras, XGBoost, NLTK, Transformers, Statsmodels, Hyperopt, SHAP, Fairlearn
Hadoop Ecosystem: Hive, Impala, Sqoop, PySpark, Oozie, Hue
Professional Experience
United Overseas Bank (UOB)
Group Finance
Data Analytics, Vice President
August 2023 - Present
- Established knowledge base and operating guidelines to streamline data workflows, encompassing dashboard development, report automation, and model deployment.
- Designed and built scalable data assets by integrating cross-functional data sources, enabling more efficient ad-hoc analytics and cutting turnaround time for business stakeholders by over 20%.
- Developed QlikSense dashboards to support self-service reporting, performance tracking, and data-driven decision-making.
- Lead a team in executing data analysis projects, ensuring timely delivery of actionable insights and measurable business impact.
Ministry of Defence (MINDEF)
Data Science Department
Data Scientist
April 2022 - August 2023
- Delivered data science solutions that enhanced MINDEF/SAF’s decision-making capabilities in policy formulation, operational efficiency, and resource management.
- Spearheaded the development of data science solutions, including NLP models, anomaly detection systems, and policy query engine, to address complex business challenges and generate actionable insights.
- Led a delegation of four to Machine Learning Week 2022, gaining industry-leading insights into the practical applications of predictive analytics and fostering professional growth.
- Designed and facilitated a machine learning workshop for over 300 participants at the IGNITE Innovation Symposium 2022, empowering attendees with practical machine learning knowledge and skills.
United Overseas Bank (UOB)
Customer Franchise & Business Analytics
Data Scientist, Vice President
November 2018 - April 2022
- Received CEO letter of performance recognition (2020).
- Led end-to-end development and implementation of a wealth propensity model across UOB and UOB Thailand, boosting conversion rates by 3.7x domestically and 1.8x in Thailand, generating over $13M in incremental revenue.
- Created and deployed a personalised content recommender engine that improved email campaign engagement (2.6x open rates, 1.4x click rates).
- Served as UOB’s subject matter expert on customer marketing for the Ethics and Accountability Assessment Methodology (MAS-led Veritas Consortium).
- Designed and implemented model performance monitoring pipelines to track drift, performance, and fairness over time, enabling timely intervention and recalibration.
- Established versioning protocols for models and datasets, ensuring reproducibility and auditability throughout the model lifecycle.
- Developed QlikSense dashboards for executive reporting, surfacing actionable insights across key business units.
- Collaborated with customer segments team to leverage data for insights, driving engagement, product usage, and acquisition.
- Mentored interns and junior analysts, fostering a data-driven culture and technical excellence.
Prudential Assurance Company Singapore
Data & Analytics IT
Data Scientist, Manager
March 2018 - November 2018
- Implemented customer segmentation engine to group customers into pre-defined microsegments.
- Implemented next best offer engine for cross selling of insurance products.
- Developed propensity to claim model to improve STP rate for underwriting.
- Optimised and retrained predictive models supporting the E-Claims initiative.
- Provided mentorship and technical oversight to interns, building analytical capability within the team.
Development Bank of Singapore (DBS)
Financial Planning Group
Business Analyst, Associate
August 2016 - March 2018
- Developed a wealth propensity model to identify high-potential investors, enhancing targeted marketing efforts.
- Collaborated with product teams to generate data-driven insights that boosted campaign effectiveness, product usage, and customer acquisition.
- Designed and implemented campaign tracking methodologies to evaluate and optimise targeting criteria and campaign performance.
- Consolidated and transformed complex datasets into clear, actionable formats for stakeholder consumption.
- Conducted descriptive analyses and produced regular statistical reports to support strategic management decisions.
Singapore Institute of Manufacturing Technology (SIMTech | A*STAR)
Planning and Operations Management Group
Specialist
October 2013 - July 2016
- Provide text-mining solutions for Antuit-SIMTech Supply Chain Analytics Lab.
- Research in data mining for supply chain and manufacturing systems.
Education
- National University of Singapore (NUS)
Master of Technology in Knowledge Engineering Jan 2015 – Jun 2017 (4.39/5) - National University of Singapore (NUS)
Bachelor of Science in Statistics Aug 2010 – Jun 2013 (3.76/5)
Certifications
- Microsoft Learn
- Generative AI concepts and applications
- Responsible AI principles and practices
- AWS Certified Cloud Practitioner (May 2023)
- Deep Learning Specialisation (Aug 2022)
- Machine Learning Engineering for Production (MLOps) Specialisation
- SAS (Aug 2016)
- Customised SAS Programming
- SAS Macros
- SAS SQL
- Django for Everybody Specialisation (Dec 2022)
Publications
- Ang, J.L., Ong, B.Y. and Tan, P.S., 2015, December. An application of text mining to understand the productivity challenges in Singapore. In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 595-600). IEEE. (Nominated Best Paper Award)
- Goh, G.S., Ang, A.J. and Zhang, A.N., 2016, December. Optimizing performance of sentiment analysis through design of experiments. In 2016 IEEE International Conference on Big Data (Big Data) (pp. 3737-3742). IEEE.
- Bhullar, A.S., Gan, C.W., Ang, A.J., Ma, B., Lim, R.Y. and Toh, M.H., 2014, December. Operational excellence frameworks—Case studies and applicability to SMEs in Singapore. In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 667-671). IEEE.