Ankita A.
Graduate Research Assistant @University Of Pittsburgh School Of Health And Rehabilitation Sciences
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WORK HISTORY
Graduate Research Assistant @University Of Pittsburgh School Of Health And Rehabilitation Sciences
Pittsburgh, PA, US
Optimized usability evaluation of 50+ health apps by applying structured assessment criteria, measured by identifying usability gaps in ~60% of applications impacting accessibility and engagement•Developed and structured Q&A datasets healthcare data points) by extracting and cleaning domain-specific information, measured by improving LLM input quality and response consistency by ~30%•Enhanced LLM model performance by feeding curated Q&A data and testing across 3+ healthcare use cases, measured by improving response accuracy and relevance by ~25
EDUCATION
COLLEGE OF DENTAL SCIENCE AND HOSPITAL
Bachelor's Degree, Dentistry
University of Pittsburgh School of Health and Rehabilitation Sciences
Master's Degree, Health Informatics
ABOUT ANKITA A.
Hi, I’m Ankita! A clinician turned Health Informatics professional, building data-driven healthcare solutions at the intersection of AI, analytics, and patient care.I bring a unique blend of clinical expertise and technical skills from hands-on patient care to developing and evaluating AI-driven health technologies. I don’t just study healthcare systems, I analyze, optimize, and redesign them.Areas: Digital Health | AI/ML | Health Informatics | Data Science | Clinical Informatics | LLM Systems | HealthTechResearcher @ Pitt Tech & Aging Lab + HARI Lab Working on usability evaluation of digital health apps and LLM systems — improving clinical relevance, accessibility, and real-world applicability of AI tools.Product Research & Data Analysis Intern @ MoreGood Venture Analyzed 50+ wellness and supplement products, identified key market trends, and translated raw data into actionable product strategies — improving competitor benchmarking accuracy by ~25% and data usability by 30%.With a background as a dentist and clinic manager, I bring something most data scientists don\'t - I\'ve sat across from patients. That clinical lens shapes every model I build, every insight I surface, and every solution I ship.I thrive at the intersection of clinical knowledge and technical rigor, fueled by curiosity and a genuine belief that better data means better care.Let\'s connect if you\'re building at the intersection of AI, clinical intelligence, and real-world healthcare impact a••••••••@gmail.com
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