Priya Parab

Data Analyst

Kaon Interactive•  February 2021 - July 2022

• Conducted comprehensive data analysis using SQL and Python on Phreesia’s SaaS platform for patient intake solutions , resulting in the identification of key trends and patterns to support product development and improvement. • Conducted thorough data analysis by utilizing Tableau as a data visualization tool to create 20+ interactive dashboards, providing clients with real time insights to aid informed decision making based on data sources and metadata • Worked with cross functional teams to ensure effective data collection, integration, and cleaning, while implementing best practices for electronic health/m edical records ( EHR/EMR ), medical claims and medical registry data bringing a bout a 25% improvement in data accuracy and completeness. • Conducted regu lar data quality assessments and audits , identifying and resolving 15% of data errors • Troubleshot resolved and documented issues related to healthcare data pipelines, ETL processes, and database systems, and helped the engineers fix the issue instantly by referring to the document. • Created a detailed knowledge base that included industry best practices for both Phreesia workforce and clients, which had 10+ articles, leading to a 17% increase in call center resolution times.

Data Specialist

Cognizant Technology Solutions•  August 2018 - January 2021

• Designed and built efficient data models that improved data accessibility and quality of the US H ealthcare Insurance client ACI , resulting in a 30% increase in data retrieval efficiency and demonstrated proficiency in database modeling and data warehousing principles, resulting in a 20% overall improv ement in database performance. • Collaborated with the Business Technology and Intelligence teams to develop a comprehensive understanding of the end to end data management process using Microsoft SharePoint , and Google Docs , and successfully contributed to the development of 2 process improvements and database •Implemented LINUX based internal tools to extract data from 5 00 XML files, enabling 96% accuracy in user statistics & visualizations. • Demonstrated and implemented strong working knowledge of statistical analysis techniques, providing value added analysis to support data driven decision making for business improvements • Developed clear and concise business and technical definitions for multiple key metrics with Collibra , and ensured that documentation was up to date and consistent across teams and all platforms • Analyzed and interpreted large datasets using SQL and Python to identify key business insights, resulting in a 40% improvement in data driven decision making and data integrity across all platforms • Conducted data access reviews across multiple teams and implemented role based access controls for patient history data , resulting in a 20% decrease in unauthorized access attempts.