In my previous role, I worked extensively with EHR systems like Epic and Cerner, extracting and transforming clinical data into actionable insights. I utilized tools such as SQL and Python to clean and analyze data, ensuring accuracy and compliance with healthcare regulations. This experience allowed me to develop dashboards and reports that improved clinical decision-making and operational efficiency.

I follow a rigorous data validation process, including cross-checking data sources, performing data audits, and implementing automated checks using tools like Alteryx or Tableau Prep. I also collaborate with clinical teams to understand their data needs and ensure that the insights generated are both accurate and actionable.

In one instance, I identified a discrepancy in patient outcome data that was impacting treatment protocols. By analyzing the data pipeline and identifying a missing data transformation step, I was able to correct the issue, resulting in more accurate reporting and improved patient care.

I am proficient in tools like Tableau, Power BI, and QlikView for creating interactive dashboards. I also use Python and R for advanced analytics and machine learning applications. My experience with these tools allows me to create visualizations that are both informative and user-friendly for clinical stakeholders.

I regularly attend industry conferences, webinars, and training sessions focused on healthcare analytics and BI. I also follow leading journals and blogs in the field to stay informed about emerging technologies and best practices. This helps me bring innovative solutions to my work and ensure that our BI strategies remain cutting-edge.