Nikhita Bhatt

• Diagnosed efficiency problems for organization data validation in the CAPriCORN data network, working cross-functionally with research and clinicians to do so.
• Created an AI-assisted tool that automates data validation across 10+ partner health systems, replacing a fully manual review process and giving staff a consistent, repeatable way to catch discrepancies before data reaches researchers.

Python · Tkinter · Ollama (Local LLM) · PyInstaller · Google Sheets API

• Designed and executed a user research study for a campus-wide data platform, conducted IRB-compliant focus groups and more than 10 HCI-grounded interviews to evaluate visualization prototypes, and translated findings into product improvements.
• Built and deployed an end-to-end data pipeline that enabled real-time monitoring across campus locations and delivered accessible, client-facing visualizations to a non-technical audience of more than 1,500 students and staff.

• Determined methods of quantifying the economic benefits of marine ecosystem services to develop valuation frameworks for future investment and pricing strategy for Blusink, a carbon sequestration technology company, and published the results.
• Researched material circularity standards for RESET, a global building sustainability certification, to identify partnership opportunities and policy gaps, and advised on its expansion into the US market.
• Determined recommendations for Claremont McKenna's rebuilding of Bauer Center that focused on material circularity and sustainable demolition practices.

• Investigated how acetylcholine-releasing neurons connect to different layers of the medial entorhinal cortex, a brain region critical for spatial navigation and memory.
• Used immunohistology and confocal microscopy to analyze cholinergic fiber density in mice, with results published in the Journal of Student Scientific Research.

• Built mathematical models to analyze how sterile insect technology and Wolbachia infection could reduce dengue transmission in Mexico.
• Compared intervention effectiveness across multiple scenarios and presented findings in a research poster.

• Collaborated with Dr. Manon Schladen under a Veterans Administration contract to establish standards for caregiving robots.
• Analyzed and aggregated 300+ interview transcripts using large language models to define technical requirements.
• Created an AI integration pipeline for future lab work and evaluated the efficacy of AI models in analyzing qualitative data using the RAGAS framework.