I am a graduate from Singapore University of Technology and Design, majoring in Engineering Systems and Design and specialising in Financial Services. I have a passion for utilizing data analytics, machine learning, and AI to solve complex problems and drive innovation in finance.
I am actively seeking opportunities to contribute my skills and insights to various domains where these technologies converge. I am eager to explore new challenges and make a positive impact on the world through data-driven insights and financial acumen.
Achieved 60% accuracy in age prediction by applying Random Forest for audio and SVR for image data in a multimodal system, and enhancing accuracy with deep learning models (CNNs, MobileNetV2, Wav2Vec2) using late fusion in PyTorch.
Developed a comprehensive stock pitch for Walt Disney, including financial modelling, utilizing a precise decision tree model, ensuring data-driven investment insights.
Crafted a BERT-based tutorial for tweet sentiment analysis, covering every aspect from data preprocessing, model development to model implementation.
Designed and developed a web-based educational game utilizing R, R Shiny, and SQL databases. The game focused on an MSO-type problem related to an airport immigration system.
Collaborated with Rockwell Collins management to enhance OTD performance, utilizing data mining, SQL, R, and Excel for data analysis and pattern identification.
Developed an autonomous cleaning robot addressing the inefficiency of conventional sanitation methods in public spaces during the pandemic.
Conducted a Southeast Asia walkability assessment, leveraging Python for public datasets and metrics to influence urban planning.
Conducted surveys, survey data analysis, and visualization to better understand people's behavior towards
the AV/EV market in Singapore
Performed a global literature review, benchmark study, and evaluated SUTD's research group, providing insights and improvement strategies.