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 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.
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.
Developed and coded X-ray diffraction (XRD) data visualizations to analyze crystallographic patterns and material phases. Processed raw diffraction data, generated publication-ready plots, and supported interpretation of structural properties.
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, 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.
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.
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.
Actively developing and refining a crystal visualization model, adding features to improve analysis of XRD data and crystal structure interpretation.
Currently writing 5-page analytical paper that examines a major scientific or technological development through critical analysis of primary and secondary sources. The paper situates scientific change within its historical context and evaluates its broader societal and global impact.
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.