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PRKGit365/README.md

Hi there, I'm Pratyusha 👋

💬Let's build better healthcare together, through compassion, innovation and collaboration.

📍 Washington, DC (USA)

📊 Healthcare Analyst | SQL | Power BI | Excel | Python | Value-Based Care | Population Health

  • 🌱I'm currently learning Tableau.
  • 📄I'm also in the process of earning my TechMaster Certificate in Data Analytics from SkillUp.
  • 🗪 I'm looking to collaborate on Population Health, Clinical Analytics Projects, and Healthcare Dashboards.
  • 📫 How to reach me: pratyusha.raok@gmail.com
  • 🎯 My goal is to combine my experience with stakeholder engagement, understanding of value-based care models and knowledge of healthcare data analytics to support decision-making and solve real-world healthcare problems.

🛠️ My Tech Stack

Here are a few technologies I've been working with recently:

  • Data Analysis & Visualization: Power BI, Excel, IBM Cognos Analytics
  • Programming & Querying: SQL, Python (Pandas, NumPy)
  • Database Management Systems: Microsoft SQL Server, MySQL

🎓 Education

  • Master in Health Administration (MHA)
  • Master of Science (MSc)

📈 Featured Projects

Emergency Department Readmission Analysis (Python)

  • Analyzed emergency department readmission patterns and risk factors.
  • Used Python (Pandas, NumPy) for data processing and analysis.
  • Identified key drivers of patient readmissions to support clinical decision-making.
    🔗 Project Link

Emergency Department Dashboard (Power BI)

  • Created interactive dashboards for business performance analysis.
  • Built calculated fields and measures using DAX.
  • Designed visualizations to support decision-making.
    🔗 Project Link

Health Analytics Project (MS SQL Server)

  • Analyzed healthcare data by grouping patients by demographics, diagnoses, appointment trends, lab tests, and cardiovascular risk levels.
  • Used SQL functions including CASE, COUNT, DATEDIFF, DATEPART, JOIN, GROUP BY, and ORDER BY.
  • Connected multiple healthcare tables, identified abnormal fasting blood sugar results, classified patient risk categories, and summarized healthcare utilization patterns for better planning and patient care.
    🔗 Project Link

Clinical (Lab Results) and Claims (Pharmacy) Analysis (Excel, SQL and Python)

  • Integrated clinical lab data with pharmacy claims data.
  • Performed comprehensive analysis using Excel, SQL, and Python.
  • Generated actionable insights for healthcare analytics.
    🔗 Project Link

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  1. Business-Dashboards Business-Dashboards Public

    Emergency Department Dashboard (Power BI Version)