Presented at QUX Con 2025 on how to leverage association rule mining for modelling discrete user choices. 1 of 80 selected to present, notable sponsors included Pinterest, Sawtooth, Sprig, and Google.
Developed LAAMA, a cloud-based platform for real-time sentiment analysis and categorization of YouTube comments using AWS (Lambda, DynamoDB, S3, SageMaker).
Architected a full-stack web app for course data retrieval, enabling querying across datasets of various filetypes. Created a REST API using Express.js to interface with a TypeScript backend leveraging the Facade design pattern. Designed a reactive, data-driven dashboard using React, Next.js, and shadcn ui components, implementing full CRUD functionality with Recharts-powered visualizations to enable dynamic data manipulation and insightful result presentation.