A selection of my professional, personal, and academic work.
A strategic Looker Studio dashboard that transforms raw listings into actionable pricing insights, identifying regional arbitrage opportunities and feature-based premiums for inventory optimization.
A comprehensive dashboard analyzing the Netflix content catalog. This visualization provides insights into content distribution by genre, release year trends, and rating demographics to understand the platform's content strategy.
An interactive Tableau dashboard analyzing Amazon shoe sales data. This visualization explores the most popular brands and models, and utilizes a text cloud to highlight key terms from customer reviews.
A collection of Python scripts to automate Tableau Server and Cloud administration tasks. Includes tools for user/group synchronization, PAT validation, and migrating subscriptions and permissions, significantly reducing manual administrative effort.
A desktop application that uses Optical Character Recognition (OCR) to read text from images and automatically sort them into folders based on keywords (e.g., "good morning", "good night"). Built with Python and EasyOCR with GPU acceleration.
A repository containing Docker Compose files and configurations for my personal homelab setup. This project demonstrates my skills in containerization, network configuration, and managing self-hosted services.
As part of a five-person team at SIM Global Education, we developed a system to analyze and predict customer purchasing patterns in a supermarket. My contributions focused on leveraging R for extensive revenue and demand forecasting.
A project at Nanyang Polytechnic where we captured and tracked shoppers' eye movements to optimize product placement. We generated heat maps from eye gaze data to analyze human attention and provide data-driven recommendations for increasing sales conversions.