About Me

I am Ayisha Beauge

I am a student majoring in Statistics at the University of Florida.

I’m a passionate learner and aspiring data scientist with a growing interest in public health and youth safety. I completed a machine learning bootcamp as part of the FAU Summer Institute in Biostatistics and Data Science, where I explored how predictive models can inform real-world interventions.

My recent project focused on using machine learning techniques—including Random Forest, decision trees, Lasso regression, and logistic regression; to predict the likelihood of adolescents carrying a gun to school. By combining these models into a comparative ROC analysis, I aimed to better understand which variables and algorithms provide the most accurate insights.

I’m excited to continue applying data science to issues that matter and collaborating with others who share a vision for evidence-based solutions in public health.

I am also dedicated to ensuring clarity and reproducibility in my work, using tools like Quarto and RMarkdown. This approach ensures that my research is trustworthy and easily followed by others.

(If I had to describe myself in three emojis: 🎓📚🐈)