Designing and building a self-stabilizing robot using a PID control system. Integrated sensors to monitor orientation and implemented feedback loops to maintain balance and stability during movement.
Simulates 10-year portfolio outcomes across three investor archetypes — Rational, Loss-Averse, and Overconfident — using correlated Student's t-distributions to model realistic fat-tailed market returns. Quantifies the dollar cost of behavioral biases grounded in Prospect Theory (Kahneman & Tversky) and overconfidence research (Barber & Odean).
A mobile application that generates personalized recipes based on available ingredients, dietary restrictions, and nutritional goals. Uses computer vision to identify ingredients from photos and machine learning to suggest optimal cooking methods.
A mobile application that delivers personalized, swipe-based inspiration across food, activities, hobbies, and business ideas. Combines curated content with intelligent recommendations to help users turn boredom into meaningful action and real-world experiences.
Designed and developed an interactive platform that studies cognitive biases through short decision experiments. Built full stack systems to collect, structure, and analyze behavioral data, then created visualizations that allow users to compare their decisions with aggregated results.
B2B SaaS returns analytics platform built for DTC e-commerce brands ($500K–$10M ARR). Brands upload CSV order/return data or connect via Shopify OAuth to get an instant dashboard showing return patterns by SKU, category, return reason, and time period — plus AI-powered recommendations to reduce return rate. Discontinued due to domain conflict and an incumbent competitor already established with the same ICP.
Analyzed large sociological datasets using statistical and programming tools to clean, structure, and interpret complex social data. Built visualizations and summaries to communicate findings and support academic research.
Designed, built, and tested laboratory oxygen sensor systems, integrating electrochemical sensors with microcontrollers and signal conditioning hardware. Debugged hardware and software issues, calibrated outputs, and ensured reliable operation in controlled experimental environments.
Design and implement a modular crystal visualization and analysis framework to support materials research, integrating structural modeling, data interpretation, and development.
Hawk Box is a student-focused direct-to-consumer venture providing curated care packages built from data-driven market research. By analyzing student preferences and seasonal needs, Hawk Box designs boxes that prioritize utility, affordability, and relevance.
An interactive reference website for fiction writers that breaks down six major storytelling frameworks into clear, expandable sections. Designed with a literary, book-inspired interface, it helps users explore structure, pacing, and narrative techniques through visual guides, examples, and writing prompts.
A python script that plots data from excel files into a graph with multiple features, it precisely graphs both x-ray defraction and raman spectroscopy data with user defined parameters.
Working with Lehigh University’s Special Collections to construct a primary-source research paper analyzing an archival object and its historical relationship to the university.
Currently writing 5-page analytical paper that examines how the invention of the safety bicycle expanded women’s mobility, reshaped fashion norms, and contributed to the emergence of the first wave of feminism by redefining women’s presence in both private and public spheres.
Developed and refined a crystal visualization model, adding features to improve analysis of XRD data and crystal structure interpretation.
An adaptive online learning platform that teaches effective communication strategies using AI-powered feedback and personalized curriculum. Focuses on professional writing, public speaking, and interpersonal communication skills.
Conducted market research to identify high-value items for Hawk Box care packages by analyzing student needs, purchasing patterns, and seasonal demand across 8 universities and 3 states. Used survey data and cost analysis to inform product selection and optimize box composition.
Designed and completed a Google Analytics capstone project focused on understanding how users interact with digital products. Applied analytics frameworks to transform raw usage data into clear insights and strategic conclusions.
An analytical research project, for BUS 003, that investigates how a consulting organization can partner with a local nonprofit to address a critical community need in the Lehigh Valley. The project combines primary research, including volunteering and stakeholder engagement, with secondary research to evaluate a nonprofit’s mission, operations, and impact. Through evidence-based analysis, the paper develops a persuasive proposal that examines organizational context, stakeholder interests, and strategic alignment to recommend actionable, community-focused solutions.
