Insights: The Massachusetts' Educational Landscape
Visualizing trends in Massachusetts schools for a general audience
Visualizing trends in Massachusetts schools for a general audience
Building a support vector machine to classify breast tumors and communicate risk clearly to stakeholders.
Interactive Shiny dashboard for monitoring bookings, revenue, cancellations, and service quality across vehicle types.
Using reinforcement learning and search algorithms to design and evaluate chess engines.
I've always been drawn to uncovering what's really happening beneath the surface. Whether it's spending hours reading investigative journalism or diving into a dataset, I find genuine excitement in discovering patterns and relationships that tell a deeper story. Currently pursuing my Master's in Data Science at UBC (following a dual degree in Computer Science and Neuroscience from Skidmore College in the United States), I focus on how people interact with systems, data, and digital products. I channel this curiosity into building predictive models, designing interactive dashboards, and translating complex qualitative and quantitative information into clear, actionable insights for research, product, and operations teams. From customer segmentation analysis at Snow Data Science to experimentation and machine learning classifiers, I'm driven by the challenge of structuring ambiguity and making those insights accessible to others. When I'm not working with data, you'll find me watching movies, reading, or on the road with friends. If you'd like to talk about human-centered analytics, potential opportunities, or just connect, feel free to reach out—I'm always happy to chat.