• Provide patient care through conducting preliminary tests for diagnosing and monitoring of ocular health and diseases. • Perform administrative duties to uphold patient flow while ensuring patient confidentiality and create standard operating procedures to improve clinic workflow efficiency.

• Collaborated with subject matter experts to conceptualize Radiation Treatment Quality Based Procedure (QBP) protocol instance counting methodology specified by Ontario Health (OH) to provide a systematic approach to compute aggregate protocol counts.• Automated the data reporting pipeline by creating a python script that compiles patient activity level (NACR) data, and translated the conceptualized OH rules to compute aggregate protocol counts, which was embedded into Power BI to provide insights for operational reporting.• Improved existing data source and design report wireframes on Power BI to enhance data visualization for various stakeholders.

• Conducted research on standardized coding systems, such as SNOMED-CT and present its use case in wound care to internal stakeholders as a solution to address interoperability issues with various health care facilities in North America.• Performed exploratory and aggregate data analysis of freeform text data using Python to evaluate the feasibility of open-source solutions, such as AWS Comprehend for wound care specific Named Entity Recognition.• Identified and used Doccano to label personal identifiable information and wound care specific entities of 150 freeform text to generate training and testing datasets used to create a custom entity recognition model