About Me
Adarsh is a database analyst within the PhIAT Group, led by Dr. Dubis, within the University of Utah’s Department of Ophthalmology & Visual Sciences. In this role, Adarsh focuses on developing data-driven solutions for ophthalmology, including designing and maintaining robust and scalable database structures to manage diverse datasets such as imaging, genetic data, and electronic health records. His work supports the Dubis Lab's mission to enable advanced downstream applications by integrating data from both internal and external sources.
Previously, Adarsh gained valuable experience as a customer software engineer at Accenture, where he led data integration efforts using Tibco BW and SQL, streamlining workflows and enhancing system efficiency. His academic and professional projects have further honed his expertise, such as building predictive models for Home Credit Default Risk, analyzing Super Bowl social media data to derive marketing insights, and optimizing transit tracking systems for better data retrieval and storage.
Adarsh is passionate about leveraging data analytics and database design to create impactful, innovative solutions. With a strong foundation in Python, R, SQL, and visualization tools like Tableau and Power BI, he combines technical proficiency with analytical insight to contribute effectively to research and development initiatives.