All Projects (9)
ESGeePeeTee
Full-Stack
Developed during Nomura AI Hackathon 2024, ESGeePeeTee is an ESG analysis tool that incorporates real-time news data from GDELT with AutoGluon, an automated multi-layered stack-ensembling ML library. It allows for a powerful, unbiased, and accurate ESG score prediction capabilities.
Skills:
- Javascript
- HTML
- CSS
- React
- Python
- TensorFlow
- Pandas
- Scikit-learn
CrowdSight
Full-Stack
Developed for Ellipsis X HST Tech Series Hackathon 2024, CrowdSight is a prototype that enables event organizers to model their event locations and use CCTV footage to visualize crowd density along predetermined exit routes.
Skills:
- Javascript
- HTML
- CSS
- React
- Python
- TensorFlow
- Pandas
- Scikit-learn
NUS Rightship Hackathon 2024
Data Science
Participated in the NUS-RightShip hackathon’s 22-hour challenge to develop a baseline assessment of Greenhouse Gas (GHG) emissions at Pasir Panjang Terminal and evaluated the impact of electrification on emissions reduction.
Skills:
- Python
- Pandas
Bike-share Analytics
Data Science
Leveraged SQL to analyze 12 months of bike-share data, identifying differences in usage patterns between casual riders and annual members.
Skills:
- Python
- MySQL
- Tableau
- Pandas
Module Bidding Analytics
Data Science
Analyzed bidding data for COR1305 over three academic years (2021-2024) to evaluate bidding trends across instructors and sections using R.
Skills:
- R
Planty
Web Development
Developed as a project for school's web applicaiton module, Planty! is a web application designed to support plant owners in tracking their plants’ needs, diagnosing plant health issues, and maintaining motivation through gamified elements.
Skills:
- Javascript
- HTML
- CSS
- React
Portfolio Website
Web Development
A personal web application built with Next.js to highlight my skills, projects, and professional journey.
Skills:
- Javascript
- HTML
- CSS
- React
Budgetly
Backend Development
Budgetly is a personal project focused on backend development, using Python and Flask to build a RESTful API for managing financial transactions. It handles CRUD operations, data validation, and storage, while the Next.js frontend provides dynamic filtering and Chart.js visualizations for spending insights.
Skills:
- Python
NUS Rightship Hackathon 2025
Data Science
Developed an AI-driven solution to reduce subjectivity in PSC severity scores using Generative AI and AutoML, securing 1st place at the Maritime Hackathon 2025.
Skills:
- Python
- Pandas