Data-Driven Insights: Analyzing U.S. Asthma Trends 2010-2020

I conducted an in-depth analysis of asthma trends in the United States from 2010 to 2020, leveraging advanced data analysis and visualization techniques. Using Python libraries including Matplotlib, Seaborn, and Scikit-learn, I processed and analyzed comprehensive datasets to uncover key insights into asthma hospitalizations, demographic disparities, and vaccination rates.

Key project highlights:

Cleaned and transformed large-scale health datasets

Performed statistical analysis to identify significant trends

Created insightful visualizations to illustrate findings

Uncovered persistent disparities in asthma outcomes across demographics and regions

Analyzed vaccination rates among asthma patients

This project demonstrates my proficiency in data cleaning, exploratory data analysis, statistical modeling, and data visualization. The findings provide valuable insights for healthcare professionals and policymakers, potentially informing targeted interventions to improve asthma management and reduce healthcare disparities