Projects

A showcase of end-to-end data solutions and machine learning pipelines. These projects represent my ability to bridge complex mathematics with practical software development, transforming raw data into automated, actionable insights

FinanceQuest

AI-Driven Financial Simulator

Architected a Python-based simulator for the NTU Tech For Good 2026 Hackathon. Features a 24-month interactive economy with an AI assistant and ML goal-prediction engine to gamify personal finance literacy.

Featured School Projects

A curated collection of full-stack implementations and multi-modal data solutions. These projects demonstrate my ability to bridge robust web architecture with advanced analytics—ranging from interactive AI simulations to systems designed to extract strategic insights from both structured data and unstructured text data.

Web Application Project

SG Enable: Full-Stack Web Portal

Architected a dual-portal system using Flask to automate registration and enquiry management for disability support services.

Text & Social Analytics Project

E-Commerce NLP & Sentiment Analysis Pipeline

Unstructured Data & Sentiment Analysis
Leveraged multi-modal sentiment analysis to extract strategic insights from unstructured customer feedback.

Topic Modeling

Unstructured Data: Topic Discovery Engine

Developed a discovery engine to categorize massive volumes of unstructured text. Utilized LDA models to automatically extract hidden themes and patterns, replacing manual document review.

Diabetes Prediction

Structured Data & Predictive Modeling

Developed a clinical risk framework using Scikit-Learn. Applied Matplotlib and Seaborn to visualize feature correlations and model performance, achieving a 65% recall rate through SMOTE optimization.

Green Plan 2030

Visual Analytics & Forecasting

Developed a Power BI dashboard to evaluate Singapore’s sustainability progress. Combined regression forecasting with geospatial mapping to provide a visual narrative on waste trends and global coastal risks.

Protein Intake Log Dashboard

Optimizing Fitness Goals Through Data Analytics & Power BI

A personal health analytics dashboard designed to track and visualize daily protein intake. By transforming raw nutritional logs into actionable insights using Power BI and DAX, I was able to monitor goal hit rates and analyze consumption patterns across different training phases to ensure peak physical performance.

Featured Personal Side Projects

Beyond the classroom, I enjoy building tools that merge my technical expertise with my personal interests. These side projects serve as a playground for me to apply academic concepts to real-world challenges, turning theoretical knowledge into practical, data-driven solutions.

InvestEd

Interactive Investment Education for the Next Generation

Inspired by real-world financial principles, InvestEd is a toolkit that turns "boring" finance into a visual experience. From the "Rule of 72" to compounding simulations, the app empowers users with no prior finance experience to take control of their future. Built with Python, Flask, and a curiosity for smart wealth management.

Coming Soon

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