Singapore
Obsessed with figuring things out and uncovering things beyond the surface level. I value continuous growth, building meaningful relationships, and approaching life with a positive attitude and a kind heart. My superpowers: getting things done, solving problems and making improvements for you.
DHL Global Forwarding
DHL Global Business Services I developed AI products across supply chain and commercial operations, including: • Cold-chain multi-leg lead time prediction model • GenAI pipeline classifying and extracting key terms from 15,000+ legal contracts • RAG-based RFQ assistant trained on internal DHL documents Beyond the technical work, I also: • Defined and executed the product vision and roadmap for an internal AI solution • Partnered with senior management, engineering, and customer success to shape product features • Championed the shift from traditional reporting dashboards to strategic insight-driven dashboards
Part of DHL Innovation Centre • Developed DHL's new customer-facing analytics platform that uses AI to solve a wide range of supply chain problems • Partnered with large retail clients to conceptualise and deliver actionable supply chain dashboards • Led analytics workshops with customers both in Singapore and across the region
• Part of Analytics COE • Worked with business stakeholders in the Americas region to deliver a logistics lead time prediction model that proactively manages and tracks shipments for better visibility and timely intervention when delays occur • Worked with product engineering stakeholders in Singapore and Taiwan to deliver prediction models that predict and diagnose possible causes of product failure to save manpower costs and contribute towards the company's zero-defect vision • Showcased work done to senior management and brainstormed to shape product vision and roadmap to secure buy-in and funding from key stakeholders • Additional responsibilities include showcasing and conducting data science trainings to increase understanding of data science within the organisation, leading initiatives to improve MLOps such as introducing automated unit testing
During my time in Accenture, I have accumulated exposure in healthcare, finance, and travel industries. Data Science • Built machine learning models to predict customer spend for targeted digital marketing campaigns • Designed marketing experiments to iterate campaign mechanics and offers for different customer segments using A/B testing to accurately measure and track ROI Data Engineering & Visualisation • Delivered an end-to-end data warehouse and Tableau visualisation project • Led requirement gathering sessions and worked closely with stakeholders and solution architects • Managed a diverse multinational Build and Test team for project deliverables
SAS Business Intelligence & Analytics (BIA) Program is IDA’s Company-Led Training (CLT) initiative to recruit and train fresh professionals in Business Intelligence and Analytics. The Data Scientist Consultant Program is designed to equip trainees with knowledge and skills that will allow them to deliver business analytics projects with hands-on knowledge and know-how. BIA trainee: • Undergone rigorous Data Scientist Consultant Program training period that covered 17 professional SAS courses across 10 different SAS solutions • Attained 2 SAS certifications – SAS Enterprise Miner, SAS Visual Analytics • Applied knowledge and skillsets learnt through final project using Kaggle data • Awarded best analysis and presentation amongst BIA trainees After the training phase, I continued to work in SAS as an Analytics Consultant, where I: • Supported the sales team to conceptualise & design customised solutions tailored to customers' business requirements in the areas of data visualisation and predictive modeling • Led product demonstrations, tender presentations and proposals, and product enablement workshops • Demonstrated the value of analytics and SAS's solutions through POCs using customer data to solve their business needs Courses include: - SAS Programming 1: Essentials - SAS Programming 2: Advanced Techniques & Manipulation - SAS Enterprise Guide 1: Querying & Reporting - SAS Enterprise Guide 2: Advanced Tasks and Querying - SAS Macro Language 1: Essentials - SAS SQL 1: Essentials - SAS Enterprise Guide: ANOVA, Regression & Logistic Regression - SAS Visual Analytics: Getting Started - SAS Visual Analytics: Fast Track - Forecasting Using SAS Forecast Server Software - SAS Data Integration Studio: Fast Track - Applied Analytics Using SAS Enterprise Miner - Text Analytics Using SAS Text Miner - SAS Content Categorization Studio: Building Models - Data Preparation for Data Mining - Introduction to SAS and Hadoop - SAS Platform Administration Fast Track
• Courses: Introductory Statistics, Social and Contextual Analytics • Provided weekly consultation sessions for students • Marked and graded assignments throughout the course • Responded to queries from students with regards to course materials • Invigilated mid-term test and make-up test during the semester