Featured Projects

Data Analysis

Helping Doctors Prescribe Medicine

This document discusses the analysis of a dataset on patients with the same illness, aiming to predict the suitable medication based on age, sex, blood pressure, and cholesterol levels. The analysis includes data preprocessing, one-hot encoding for categorical features, and visualizations of the decision tree. The findings reveal insights on the preferred drugs for patients with certain characteristics, highlighting the importance of personalized medicine. By incorporating these findings into medical practice, treatment outcomes can be improved and patient satisfaction enhanced.


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Data Analysis

Infertility & Hormone Levels

The NHANES survey analysis focuses on the relationship between hormone levels and infertility. The analysis reveals that estrogen levels are higher among individuals experiencing infertility, providing valuable insights for managing and treating infertility. The comprehensive NHANES dataset also explores various demographic and behavioral factors that influence reproductive health outcomes. The findings have important implications for clinical practice and public health efforts in the United States.

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  • Amy Corona

    Data Scientist

    I am a data scientist specializing in predictive systems to enhance resource allocation and operational efficiency. My work is deeply rooted in sustainability and diversity and inclusion, believing these values are vital for a fair and prosperous future. With a successful history across various industries, I excel in programming (Python, R, SQL), machine learning, statistics, database management, and data visualization. I effectively communicate complex insights to diverse audiences, from technical teams to executives. I am eager to grow my skills and collaborate with forward-thinking organizations, inviting inquiries for potential partnerships. Let's connect!