A showcase of my work and creative solutions
Developed and evaluated data-focused prompts to assess and improve LLM reasoning, applying analytical skills, critical thinking, and precise technical writing.
IOYou is a social accountability app I’ve built and launched on the App Store to help friends track favors, shared costs, and everyday social debts. I designed and implemented a relational database powering events, profiles, and groups, ensuring scalable and intuitive user interactions. Additionally led early marketing strategy to build awareness and engagement around the platform.
As part of the data analysis team in a multi-team classroom collaboration for the Maryland Commission on LGBTQIA+ Affairs, used Python (Pandas) to clean, organize, and analyze survey data, and developed interactive Tableau dashboards to visualize key trends and support strategic recommendations.
A Healthy Meal App startup for college students using Python and HTML to interact with a meal database, enabling ingredient-based recipes, budget-friendly meal planning, and grocery store recommendations.
A compelling data story using Tableau to analyze World Cup matches, uncovering how home nation advantage influences goals, win-loss records, and historical performance trends through engaging visual narratives.
PopSpot, a web app for event discovery, using HTML, CSS, and JavaScript with APIs like Ticketmaster. Designed a responsive interface with location-based search and filters and implemented a database to store user preferences and search history for enhanced personalization and navigation.
A revenue model for a travel app with tiered subscriptions, in-app purchases, and ads to target diverse customer segments. Conducted customer interviews to validate the value proposition, designed a go-to-market strategy with referral programs and influencer partnerships, and implemented retention strategies like loyalty programs and personalized content to drive adoption and engagement.
A comprehensive database on electric vehicles in Washington state, detailing make, model, range, and location to support data-driven insights. Optimized data for infrastructure planning, market analysis, and trend tracking, enabling stakeholders to assess geographic distribution, model popularity, and charging needs.