clinical-analytics

Bridge the gap between patient experience and clinical understanding through comprehensive, secure, and accessible pain tracking technology. A privacy-first, offline-capable PWA for chronic pain management.

End-to-end healthcare analytics project analyzing 30-day hospital readmission rates across 2,245 U.S. hospitals using CMS HRRP FY2026 data | SQL Server · Python · Power BI | $402M excess cost identified

A Power BI dashboard for analyzing the systemic impact of smoking on patient organ health built from synthetic patient data to visualize how smoking behavior correlated with organ damage across heart, lungs, liver, and kidneys.

A data-driven clinical decision support tool demonstrating the end-to-end deployment of a machine learning pipeline using Python, PyCaret, and Streamlit.

SQL + Power BI + Excel analytics system built on public CMS hospital data. Tracks 30-day readmission rates, HCAHPS patient satisfaction, and clinical quality indicators across 4,800+ U.S. hospitals — with benchmarking, trend analysis, and operational efficiency reporting across three dashboard pages.

End-to-end cardiac analytics pipeline - AWS S3 + Python ETL + PostgreSQL + Power BI | 15,757 admissions | Hero DMC Heart Institute

Interactive Tableau dashboard analysing patient demographics, health risks, cardiovascular indicators, and clinical metrics using KPI cards, calculated fields, and healthcare data visualisation.

Hospital intelligence platform for Chilean public hospitals — GES compliance, clinical risk prediction, AI executive reports

End‑to‑end reproducible data pipeline for clinical records and health analytics.

AI-powered healthcare web application for predicting patient readmission risk and insurance claim amounts using machine learning.

Supervised machine learning pipeline for heart disease risk prediction using clinical data, achieving strong accuracy with interpretable feature analysis

AI-powered hospital readmission risk analytics platform using XGBoost, SHAP explainability, and Streamlit dashboards to identify high-risk patients and optimize healthcare intervention workflows.

Hospital length-of-stay prediction for NY hospitals. Risk-stratify patients at admission for proactive discharge planning. Built on SPARCS 2024 data.

This is an end-to-end healthcare analytics platform designed for processing and analyzing patient data at scale.

Enterprise Power BI dashboard for healthcare performance analytics, Leapfrog quality measures, patient safety, operational KPIs, SQL, DAX, and executive reporting.

An end-to-end pipeline that transforms messy raw ICU lab records into a clean, validated longitudinal biomarker dataset, using Python

Predicting long-term disability progression in Multiple Sclerosis using longitudinal registry data, machine learning classifiers, and missing data imputation in R.

Enterprise Power BI dashboard for Emergency Department (ED) analytics featuring patient flow, throughput, wait times, clinical quality, resource utilization, operational KPIs, and executive healthcare reporting.

End-to-end machine learning and explainability pipeline for predicting 30-day hospital readmission risk using synthetic EHR data.