👋🏻 My name is Jordan

🎓 Master of Information and Data Science @ UC Berkeley

🧩 I dig deep to find the connections between people, products, and problems

🔧 Proven experience working with teams to understand root causes and improve workflows

Personalized product recommendations and item bundling are widely used strategies aimed at increasing consumer engagement and spending. This study uses a 3x2 factorial design to test the hypothesis that bundling and personalization strategies increase customer purchase amounts within a simulated e-commerce environment.

Modern large language models are trained on web-scraped data that often reflects various forms of bias. This bias can be exacerbated when models rely on it to make predictions, often resulting in negative effects towards certain groups. In this project, we explored the extent of gender bias in pre-trained modern LLMs like ModernBert, and applied 3 debiasing methods (counterfactual data augmentation, debiased embeddings, iterative nullspace projection) to reduce model bias in an occupation classification task related to resume screening workflows.

Over 40% of the world’s 7,000+ languages at risk of disappearing. As these languages vanish, so do the unique histories, identities, and perspectives they embody. This project aims to discover socioeconomic features that can be used to predict a language's endangerment classification, with the goal of producing actionable insights into areas where targeted interventions for language preservation will be most valuable.

Utilizing open source data from the New York Metropolitan Museum of Art, our team converted the museum's collection data into a graph database, uncovering key insights into the relationships between objects and galleries that inform exhibition ideas, object curation, and user experience enhancements for visitor-facing products.

An exploratory data analysis project that uncovers relationships between gender, employment, and primary school enrollment at a global scale, producing insights into how early education relates to overall labor market trends.