This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

MCP server providing healthcare analytics capabilities for Smartsheet, including clinical note summarization, patient feedback analysis, and research impact assessment

EDA on medical insurance data using Python and R to explore how age, BMI, smoking, and other factors influence claim amounts and health risk profiles.

The Helios FHIR Server is an implementation of the HL7® FHIR® standard, built in Rust for high performance and optimized for clinical analytics workloads.

Heart disease is still a major worldwide health concern since it is one of the leading causes of mortality and morbidity in India. Early and precise diagnosis of heart disease can save lives and reduce medical costs. Conventional diagnostic methods, however, are often expensive and need specific equipment and expertise.

medical appointments No-Show classifier

An interactive Tableau dashboard promoting nutritional health through the exploration of micronutrients

# Notes MCPAn MCP server that connects with your Apple Notes on macOS. 📓 This tool allows you to manage your notes efficiently with simple commands. 🛠️

This project forecasts monthly healthcare call volumes using time-series modeling (ARIMA), optimizing call center staffing and reducing wait times. Features include trend analysis, model tuning, and an interactive dashboard for real-time insights.

“Data analysis and visualization of U.S. hospital performance and patient feedback using CMS data, delivering actionable insights via interactive dashboards.”

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

Dataset release in association with 10.3389/fimag.2025.1547166

Natural language interface for US Census data built with Claude AI, DuckDB & MCP. Transform demographic queries from 6-week $50K consulting into instant analysis. Features: HIPAA-ready security, SQL injection protection, 82%+ test coverage. Built for healthcare strategy teams. TypeScript • Next.js • Express • Free to fork! 🚀

An interactive dashboard built with Dash (Plotly), Pandas, and Bootstrap for visualizing healthcare data. This tool helps track patient demographics, medical conditions, billing amounts, insurance comparisons, and admission trends. It also supports uploading custom healthcare datasets for dynamic analysis.

End-to-end data science project predicting clinical trial completion using AACT data. Includes EDA, feature engineering, ML models (LogReg, XGBoost), SHAP interpretability, and Streamlit deployment.

Automated national health reporting system used by mayors of Iran. Transforms STEPS2020 survey data into provincial factsheets using R and VBA. Delivered to national leadership for policy decisions

Comprehensive Power BI dashboard analyzing diabetes patient data with interactive visualizations, DAX calculations, and healthcare insights

Machine learning project using decision trees to predict stroke risk from healthcare data. Includes a R Markdown file with full code, along with a case study summary.

🩺 Healthcare Data Integration, Analysis & Visualization project using Python, Jupyter Notebook, and Power BI. Integrates multi-sheet Excel data, performs data cleaning, feature engineering, exploratory analysis, and delivers interactive healthcare dashboards.