All Projects

9 projects

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Full-Stack

ESGeePeeTee

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.

  • Javascript
  • HTML
  • CSS
  • React
  • Python
  • TensorFlow
  • Pandas
  • Scikit-learn
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Full-Stack

CrowdSight

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.

  • Javascript
  • HTML
  • CSS
  • React
  • Python
  • Pytorch
  • TensorFlow
  • Pandas
  • Scikit-learn
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Data Science

NUS Rightship Hackathon 2024

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.

  • Python
  • Pandas
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Data Science

Bike-share Analytics

Leveraged SQL to analyze 12 months of bike-share data, identifying differences in usage patterns between casual riders and annual members.

  • Python
  • MySQL
  • Tableau
  • Pandas
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Data Science

Module Bidding Analytics

Analyzed bidding data for COR1305 over three academic years (2021-2024) to evaluate bidding trends across instructors and sections using R.

  • R
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Web Development

Planty

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.

  • Javascript
  • HTML
  • CSS
  • React
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Web Development

Portfolio Website

A personal web application built with Next.js to highlight my skills, projects, and professional journey.

  • Javascript
  • HTML
  • CSS
  • React
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Backend Development

Budgetly

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.

  • Python
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Data Science

NUS Rightship Hackathon 2025

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.

  • Python
  • Pandas
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