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Spandana Manbol
Data Analyst @Mayo Clinic
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WORK HISTORY
Data Analyst @Mayo Clinic
US
Developed a healthcare analytics platform using Snowflake, Kafka, and Python, enabling real-time data ingestion and enhancingreporting accuracy by 30• • Designed and implemented ETL pipelines in Snowflake for claims, billing, and encounter data, reducing data processing timeby 50• Created interactive Power BI dashboards for senior leadership, delivering real-time insights into claims denial patterns andimproving decision-making efficiency by 20• Applied SAS for advanced statistical analysis, improving the accuracy of claims denial forecasting by 15• Integrated SAP with Snowflake, streamlining data flow for billing and financial reporting, improving operational reportingaccuracy by 25• Utilized Jira to manage project timelines and tasks within an Agile environment, ensuring the timely delivery of critical dataprojects.• Built predictive models using Python and R, providing actionable insights to enhance clinical decision-making and reduce reimbursement delays.• Implemented Kafka-based real-time data ingestion, reducing data latency from hours to near real-time ( 5 minutes), ensuringup-to-date and accurate reporting for leadership.
EDUCATION
University of North Texas
Master's degree
KL University
Bachelor's degree
ABOUT SPANDANA MANBOL
I\'m a data analyst with 3+ years of experience working across healthcare, insurance, and education—helping teams make better decisions through clean, well-structured, and actionable data. I work mostly with SQL, Power BI, Python, and Snowflake, and I’ve built everything from daily operational dashboards to real-time data pipelines using tools like Kafka and Azure. At Mayo Clinic, I worked closely with clinical and billing teams to improve reporting on claims and denials. One of my favorite projects involved automating a dashboard that cut manual work by hours each week and gave leadership real-time insight into bottlenecks. What I enjoy most is solving real problems with data—whether that’s streamlining a process, uncovering a trend, or making a dashboard truly useful for the people using it. I\'m always looking to grow, take on new challenges, and be part of teams that value both technical depth and business impact.
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