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

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.

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

Similarity-first interpretability studio for breast tumor samples: pick a case, find its closest “twins” (benign/malignant look-alikes), visualize neighborhood structure, compare feature fingerprints, and run minimal-change counterfactual edits toward a target class. Educational demo only, not for diagnosis.

Machine learning system for predicting genetic disorders using genomic, clinical, and demographic data. Implements robust preprocessing, feature selection, and multi-model classification (RF, XGBoost, LightGBM, CatBoost) with cross-validation to support early, data-driven genetic risk 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.

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

Heart Disease Analysis Power BI Dashboard A data-driven Power BI report analyzing heart disease patient data to uncover insights by gender, age, and health metrics. Built using Power BI, Excel, and DAX to demonstrate data modeling, visualization, and business intelligence storytelling for healthcare analytics.

Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.

Kidney Disease Classification Using Machine Learning and AI [ "Government of India" & Ministry of Heath and Family Welfare("MOHFW")]

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.

HealthWeave - AI-Powered Health Data Synthesis & Clinical Insights Platform

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.

Hospital Management Power BI Dashboard A data-driven Power BI report analyzing hospital operations, patient data, doctor specialization, and payment insights. Built with Power BI, SQL, and Excel to demonstrate DAX, Power Query, and business intelligence storytelling in healthcare analytics.

Healthcare BI analysis and advanced SQL querying on Databricks to optimize hospital efficiency and public health management.

medical appointments No-Show classifier

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

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.

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

Natural language interface for US Census data. Built with Claude AI, DuckDB, and MCP. Ask questions in plain English, get data back.