Singapore, Singapore
A recent NUS graduate who is excited about the fusion of supply chain and technology. Proficient in the product development cycle (ideation, design, develop, test, deploy, feedback), SQL, and Tableau/Power Bi to tell the whole picture and produce key insights about our business using data
Reduced shipping fee overestimation for 100k daily orders by implementing a new volumetric model utilizing 3D parcel stacking algorithm and weight validation using historical data patterns. • Improved delivery time precision and logistics tracking log for buyer and seller with better-estimated delivery time multivariate model with a dynamic update and delivery reattempt/return prediction. • Constructed performance metrics and dashboards using SQL and Python for Shopee Logistics that reduced buyer waiting time, improved on-time pickup rate, and ensured 0 stuck parcels. • Developed time series forecasting models to predict daily orders and required drivers for Shopee logistic hubs with MAPE of 9% using Prophet model and probability distribution
- Design and implement new features and system flows for Shopee's internal Warehouse Management System (WMS), mainly on inventory management system. The new features help increase efficiency on warehouse replenishment and stock take and provide visibility on space utilization and task progress.
- Reduced energy loss by 20% by creating an interactive visualisation tool to track real-time data of fuel, steam, electricity usage for an ethylene cracker unit using Power Bi and Web API. - Crafted new workflow for technologists & maintenance to align process parameters of safety equipment.
- Adjust Business Plan for commercial offer with input data on peak consumption, peak load, connected HEX capacity and key financial and operational indicators of the District Cooling System (DCS) Project. - Customized personalized Comparison Analysis to compare Total Cost of Ownership for DCS and Standalone Cooling System. - Reviewed NEMO Market software guideline that is used for portraying energy consumption of each building and estimating length of piping network required for Centralized Cooling System.
- Managed on-field chemical monitoring services for Singapore Refining Company (SRC) and in charge of handling servicing for more than 15 units, including crude distillation unit, waste heat boiler system, and gasoline desulphurization unit. - Delivered daily service report for Singapore Refining Company (SRC) with solutions during system fluctuations and crude change incompatibility with recommended mechanical, operational, or chemical adjustments. - Performed daily laboratory tests for process and water samples, which comprised of crude oil, overhead, boiler and cooling tower samples, to determine current performance of system and potential risks of corrosion.