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DataStalker/README.md

Hello, I'm Islam 👋

Welcome to my GitHub! I'm a Data Analyst with a strong focus on data analysis and reporting, query optimization, database design, and data modeling. I am passionate about using data to drive meaningful insights, particularly in the fields of epidemiology and healthcare data analysis.

I have a strong passion for R programming and machine learning, which I use alongside other tools to analyze and model complex datasets.

🛠️ Tools & Technologies

  • Languages: R, SQL
  • Visualization: Power BI

📚 Projects

This portfolio showcases various projects that reflect my skills and expertise in data analysis, visualization, and machine learning.

🔍 Areas of Interest

  • Epidemiology
  • Healthcare Data Analysis
  • Machine Learning
  • R Programming

📈 My Work

  • Query and analyze healthcare and epidemiological data using SQL and R for research and reporting.
  • Generate detailed reports on public health trends and perform ad-hoc analysis to support decision-making in healthcare settings.
  • Build interactive dashboards using Power BI to visualize healthcare data and track key epidemiological metrics.
  • Conduct in-depth data analysis and reporting using tools like Google Sheets and Excel to support clinical research and public health initiatives.

👋🏻 Connect with Me

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  1. Mpox-Analysis Public

    This repository features visualizations of monkeypox cases and deaths from Jan 2022 to Aug 2024. It includes a choropleth map and scatter plots analyzing the distribution and trends of the disease …

    R 1

  2. Survival-Cox Public

    This repository contains an R script for performing survival analysis on breast cancer surgery data from the University of Chicago's Billings Hospital. The analysis includes Kaplan-Meier estimation…

    R

  3. Cholera-Spatial-Analysis Public

    Analysis of global cholera data (1949-2016), including trends, visualizations, and insights into case distributions and fatality rates across countries.

    R

  4. Hospital-Mortality Public

    A Logistic Regression-based model to predict in-hospital mortality using patient demographics, medical history, and vital signs. Built with tidymodels for efficient data preprocessing and model tra…

    R

  5. Fetal-Health-Class Public

    Classify fetal health states using Cardiotocogram (CTG) data in this project. The dataset features various CTG metrics to build a model that categorizes fetal health into Normal, Suspect, and Patho…

    R