Senior member of Data Science team delivering data-driven solutions to support SP Group's digital transformation in different verticals:1. GenAI ⚑ Visual question answering ⚑ Image retrieval via text and visual prompting ⚑ Open-set object detection ⚑ Synthetic data generation via generative modelling ⚑ RAG and large foundation model(LLM, LVLM) research ⚑ Distributed training2. Intelligent Singapore Power Time Series (iSPoTS) Toolkit - Auto ML for Time Series ⚑ Time series forecasting ⚑ Time series clustering ⚑ Change point detection ⚑ Anomaly detection3. Energy Brain ⚑ Microgrid optimisation ⚑ Peak shaving ⚑ Price arbitrage ⚑ Economic dispatch4. CV-assisted Grid Operation and Management ⚑ Object detection and OCR to guide field worker operation ⚑ Image classification for asset recognition and maintenance validation5. Asset Monitoring and Predictive Maintenance ⚑ Anomaly detection for gas network ⚑ Green Energy Tech (GET)6. Operational Efficiency ⚑ Meter intelligence ⚑ Utility billing intelligence ⚑ Tampering detection7. Junior Mentoring & Stakeholder Engagement ⚑ Mentor junior members to deliver projects ⚑ Engage stakeholders to clarify requirements and drive impacts

• Led all data analytics duties in Southeast Asia’s 2nd largest intelligent building project collaborated with a global leading consulting firm and Asia’s largest real estate company• Created over 60 in-house analytics algorithms to automatically detect building operating faults, and over 30 machine learning models to predict building energy consumption and verify energy savings resulting from data-driven energy efficiency solutions• Presented model results directly to the Vice President of Asia’s largest real estate company. Achieved 6-10% energy savings per year (approx. 4,000,000 kWh or 1,000,000 SGD)• Created a data pre-processing pipeline using python to handle data cleaning, data wrangling, feature engineering and feature selection specifically for building energy predictive analysis• Created visualization dashboard to automate building operating system efficiency reporting by reducing 70% manual processing hours• Conducted energy audit for Wildlife Reserves Singapore in Singapore Zoo, River Safari and Night Safari to provide actionable plans to reduce energy consumption by 7%