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uduak33/README.md

UduakObong Nyong

Healthcare Data Analyst | Healthcare Business Intelligence | Operational & Clinical Analytics

Clinically trained Healthcare Data Analyst with experience translating EHR-based healthcare data into operational, clinical, and financial insights that support decision-making across healthcare systems.

My work focuses on healthcare business intelligence, KPI interpretation, predictive analytics, operational performance analysis, and executive data storytelling using SQL, Tableau, SPSS, and Excel.


Featured Healthcare Analytics Projects

Predicting Blood Pressure Control Failure and Evaluating Treatment Effectiveness in Hypertensive Patients

Healthcare predictive analytics project focused on identifying risk factors associated with blood pressure control failure and evaluating antihypertensive treatment effectiveness across patient subgroups using SPSS and Tableau.

Key Areas: Predictive Analytics | Risk Stratification | Treatment Effectiveness | Tableau Dashboards | Clinical Decision Support


Hospital Performance & Payer Insights

Comprehensive healthcare analytics project analysing inpatient utilisation, readmission trends, payer mix exposure, mortality patterns, and operational performance using SQL (PostgreSQL) and Tableau.

Key Areas: Healthcare KPI Analysis | Length of Stay (LOS) | Readmission Analysis | Payer Mix Analytics | Operational Performance


Technical Skills

  • SQL (PostgreSQL)
  • Tableau
  • SPSS
  • Excel
  • DBeaver
  • Git & GitHub
  • Healthcare KPI Analysis
  • Healthcare Business Intelligence
  • Data Storytelling & Executive Communication

Current Focus

  • Healthcare Business Intelligence
  • Operational & Clinical Analytics
  • Predictive Healthcare Analytics
  • Healthcare Data Storytelling
  • Healthcare Performance & Utilisation Analytics

Connect With Me

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  1. hospital-performance-and-payer-insights hospital-performance-and-payer-insights Public

    Healthcare data analytics project analysing hospital encounter data to evaluate clinical utilisation, length of stay, readmissions, payer exposure, and mortality trends.

  2. hypertension-predictive-analytics hypertension-predictive-analytics Public

    Predictive healthcare analytics project using SPSS and Tableau to identify BP control failure risk factors and evaluate antihypertensive treatment effectiveness.