• Conducted end-to-end SDLC processes, including requirement analysis, development, testing, and deployment, to deliver
reliable and compliant healthcare data solutions in an Agile environment.
• Leveraged Python with libraries like NumPy, Pandas, and Matplotlib to perform data cleaning, wrangling, and visualization,
improving the accuracy and interpretation of healthcare datasets.
• Designed and developed over 25 dashboards using Tableau and Advanced Excel, delivering actionable insights that
improved stakeholder decision-making and increased operational efficiency by 30%.
• Completed 100% compliance with HIPAA and HITECH rules, while aligning data processes with Medicaid and Medicare
payment models, ensuring regulatory adherence across all healthcare systems.
• Implemented healthcare terminologies and interoperability standards, streamlining EHR integration and improving data
consistency across systems by 40%, enhancing overall data reliability.
• Conducted API testing and application integration using Open MRS and Postman, ensuring seamless communication
between healthcare applications and reducing integration errors by 25%.
• Exploited SQL and PostgreSQL for querying, managing, and analyzing large-scale healthcare data, ensuring efficient data
storage and retrieval for compliance reporting.
