Madhu Sai Ganesh Reddy Karasani

- Developed a predictive model achieving 85% accuracy in forecasting hospital admissions

• Visualized six months of patient data using Tableau and Power BI

• Authored a strategic informatics report for a mid-sized hospital system

• Successfully resolved 98% of data quality issues in academic projects

• Recognized for one of the top 3 data science capstone projects (Spring 2025)

• Presented data findings in a virtual academic showcase

• Graduate Research Assistant (Healthcare Informatics)

• Mount Vernon Nazarene University – Mount Vernon, OH (Remote/Hybrid) | Jan 2025 – Present

• - Conducted research on healthcare data trends and clinical outcomes using Python and SQL

• - Cleaned and analyzed EHR datasets to identify patterns in chronic disease incidence

• - Created dashboards in Power BI to visualize patient readmission and treatment gaps

• - Collaborated with faculty on academic publications and data modeling tasks

• Data Analyst Intern (Academic Capstone Project)

St. Michael’s Healthcare System – Virtual Collaboration Project | Jun 2025 – Jul 2025

• - Developed a strategic analysis on challenges in analytics adoption within a mid-sized hospital network

• - Applied health informatics principles to evaluate interoperability barriers and data flow issues

• - Produced actionable insights and visual reports using Excel and Tableau

• - Authored a formal strategic plan with stakeholder recommendations

• Health Data Analyst – Course-Based Projects

Mount Vernon Nazarene University – Multiple Courses | Aug 2024 – May 2025

• - Designed and implemented a logistic regression model to predict hospital admissions using Excel

• - Analyzed 6 months of anonymized patient data for trends in chronic disease risk and health disparities

• - Created interactive dashboards using Tableau

• - Worked with ICD-10, HL7, and SNOMED data to model healthcare use and outcomes

AWS Certified Cloud Practitioner – Amazon Web Services (AWS)
Earned: [March , 2025]
Demonstrated foundational understanding of AWS Cloud concepts, services, security, and cost management.

Relevant Coursework: Health Data Analytics, Predictive Modeling, Clinical Decision Support Systems, Data Visualization, Machine Learning, EHR Systems, Healthcare Operations, SQL for Health Data