Comprehensive suite of tools designed to facilitate the management, analysis, and visualization of healthcare data

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.

Hospital Data Analysis Using Python This project analyzes hospital data to find patterns in patient care, treatments, and hospital operations. Using Python libraries like Pandas and Seaborn, it cleans, processes, and visualizes data to help improve healthcare services and decision-making.

Data Analysis case studies on various databases using SQL . Demonstrating proficiency in solving diverse business problems. Projects cover sales, orders, products, finance, healthcare and other sectors, and highlight my ability to analyze complex datasets through SQL queries, data manipulation, and visualization techniques.

Visualizations, exploratory analysis, and models from healthcare.gov data

A web app for visualization and analysis of healthcare data using OMOP CDM.

This project provides an in-depth analysis of healthcare data from hospitals in California using advanced data visualization techniques like Power BI, Tableau, and Excel.

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.

This dashboard provides a comprehensive analysis of chronic disease prevalence across the United States, focusing on diabetes, obesity, heart disease, and physical inactivity. It demonstrates the full pipeline from data preparation through interactive visualization—key skills for data analytics roles in healthcare and pharmaceutical industries.

🩺 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.

This project demonstrates end-to-end skills in database design, data processing, analysis, and visualization — ideal for showcasing technical and analytical capabilities in healthcare data management.

This project focuses on predicting individual medical insurance charges using demographic, lifestyle, and health-related variables. The workflow includes Exploratory Data Analysis (EDA), interactive data visualization using Streamlit, and Machine Learning model development to accurately estimate healthcare costs.

📊 Data Science Project: [healthcare cost prediction] This repository houses the comprehensive data science project conducted on a data set taken from kaggle. The project involves thorough data cleaning, insightful visualizations, and meticulous preprocessing to prepare the data for analysis.

This project showcases a comprehensive hospital data analysis dashboard built using Power BI. It visualizes key healthcare metrics including medical expenses, patient volume, doctor distribution, and departmental performance across multiple hospitals and locations

A data-driven healthcare analysis project built using Excel, Power BI and MySQL to uncover insights into patient demographics, doctor workload, treatment trends, and hospital performance. This project visualizes key KPIs like total patients, follow-up rates, treatment costs, and top diagnoses to support decision-making and improved patient care.

Newer technologies, such as mobile applications on devices, allows for a wider breadth of telehealth possibilities. In this project the goal is to remotely monitor patient’s temperature and heart rate for chronically ill patients, the elderly, the handicapped and in the case of Covid-19 diagnosis. The system uses remote sensors (i.e temperature and heart rate) that will transmit data over the internet through and microcontroller with embedded ESP8266-ESP32 Wi-Fi Module to the DHIS2 cloud server for analysis, review and emergency treatment. The mobile application will also be available to the patients so they will check their trends and receive notifications in acute conditions in real-time. The doctor or healthcare provider will also receive notifications in real-time and can also view patients’ trends over a period using DHIS2 Dashboards (Data Visualization).

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Interactive Power BI dashboard for healthcare data analysis and visualization

This application, "Healthcare Accessibility Analysis with Map Functionalities and Geospatial Analysis", is a dynamic mapping and visualization tool designed to support healthcare accessibility analysis and geospatial data exploration.

Explore comprehensive data analysis and visualization on healthcare datasets. Identify trends, patterns, and insights to support data-driven healthcare decisions. Ideal for data science practitioners and healthcare professionals seeking actionable analytics.

🩺 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.

Healthcare Analysis Data Pipeline: Built a scalable data pipeline using Spark on EMR and S3 for healthcare datasets, with Power BI dashboards for data visualization and insights.

Executed a Healthcare Analytics Capstone Project using Tableau, showcasing data visualization and analysis skills for actionable insights in healthcare. Technologies Used •Python - Pandas Library •Tableau Features •Data Integration •Data Visualization •Dashboard Design

A collection of healthcare data analysis and visualization projects, showcasing insights into clinical decision support, biohealth informatics, and pharmaceutical data management.

Power BI visualization, preprocessing, and analysis of healthcare data including visits, diagnoses, departments, cities, insurance, patients, procedures, and providers.

Collection of Tableau dashboards including Uber Trip Analysis and Healthcare Data Analysis. Showcases data visualization, interactive reporting, and analytical insights using Tableau for real-world datasets.

An interactive Power BI report for hospital data analysis, featuring patient demographics, department performance, and key healthcare metrics visualization.

Collection of interactive Power BI dashboards including Uber Trip Analysis, Sales & Profit Time-Series Analysis, and Healthcare Data Analysis. Demonstrates data visualization, business intelligence, and insights generation using real-world datasets.

This project involves analyzing a mental disorders dataset to identify patterns and differences in patient diagnoses and behaviors. We will clean the data, conduct exploratory analysis using visualizations, and perform hypothesis testing with tools like Python, Pandas, and SciPy to draw insights that could influence healthcare strategies.

Interactive data visualization dashboard built with Dash and Plotly, featuring military equipment transfers, ECG signal analysis, healthcare documentation NLP, and military base mapping.