Sachin Bhut

About Sachin Bhut

I’m a Healthcare and Clinical Data Analyst with 4+ years of experience transforming complex healthcare data into meaningful, actionable insights that drive better patient outcomes and smarter clinical decisions. My expertise spans across Electronic Health Records (EHR) systems like Cerner and OpenEMR, clinical trials, claims data, and healthcare compliance. I’m skilled in using tools such as Python, SQL, Power BI, and Tableau to build clean, compliant datasets, interactive dashboards, and predictive models that inform strategic healthcare operations. At Cardinal Health, I built ETL pipelines and dashboards that improved data accuracy and supported executive decisions enhancing clinical decision-making by 15%. During my time at Orion Techno lab, I designed CDISC-compliant datasets for regulatory submissions and developed models that predicted patient readmission risk with 90% accuracy. I’ve also led the development of CRFs, standardized medical terminologies using RELMA, and integrated HL7 protocols for better system interoperability. Currently pursuing my Master of Health Informatics at Indiana University (GPA: 3.71), I bring both technical depth and clinical context to every dataset I touch—always with an eye toward improving care quality, research efficiency, and compliance.

Experience

1. Healthcare Data Analyst

   Cardinal Health

   Nov 2024 — Present · US

   Collaborated with clinical teams using agile analytics workflows, reducing time-to-insight by 10% and accelerating patient care interventions. Analyzed EHR records to identify patient risk factors, enhancing HIPAA/GDPR compliance and reducing safety incidents by 15%. Automated Python/R data pipelines for real-time monitoring of adverse events, cutting reporting lag by 30%. Built Power BI dashboards tracking mortality, patient outcomes, and care quality KPIs, driving a 25% rise in executive adoption of outcome-driven decision-making. Evaluated Value-Based Care metrics (HEDIS, MIPS), improving provider performance and reducing penalties by 10%. Queried and analyzed SQL-based clinical trial datasets to uncover patient-level trends, improving operational efficiency by 15%.

Education

• The Maharaja Sayajirao University of Baroda

  Bachelor of Pharmacy - BPharm, Pharmacy

  2016 — 2020

• Luddy School of Informatics, Computing, and Engineering, Indianapolis

  Master's degree, Medical Informatics