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

Islam Asal's Projects

cholera-spatial-analysis

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

fetal-health-class

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 Pathological. Aimed at improving early intervention and maternal-neonatal outcomes.

hospital-mortality

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 training.

mpox-analysis

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 worldwide

survival-cox

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 and Cox Proportional Hazards modeling to assess patient survival.

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