About Me

My interest in data analytics and science sparked when I had the opportunity to analyze oncology machinery data using Excel. In 1.5 years, I received my Healthcare Analytics certificate from UC Davis. In May 2023, I'm proud to announce I have received my Master's in Statistics concentration in Data Science from California State University East Bay.

My focus is in healthcare and public health data as the appeal is to mitigate $800 billion in fraud, waste, and abuse annually so taxpayer money can be better utilized at improving health.

SQL:

PostGreSQL Project:

Proc SQL using SAS Projects:

🏥 Predicting Length of Stay (LOS) in Beneficiaries Using County-Level Profiling

• Modeling using Multiple Linear Regression in SAS, Wrangling using SQL
• Goal: To increase and optimize efficiency with hospital bed occupancies and reduce hospital bills without compromising patient health outcome. Aims to predict hospital bed length of stay on Medicare claims data

🍟 Do High Levels of Cholesterol Increase Your Odds of Having Hypertension?

• Modeling using Multiple Logistic Regression in SAS, Wrangling using SQL
• Goal: To inform in better health decisions and increase life expectancy and longevity. Aims to discover the relationship between two common health predictors on Framingham Heart Study data

👀 Evaluation of Sjögren's Syndrome Prevalence and Incidence in Adult U.S. Population from Administrative Health Claims Data

• Wrangling and visualization using SAS and SQL
• Goal: To determine the prevalence and incidence demographic and overall rates of those impacted by Sjögren's Syndrome

Machine Learning:

Individual projects:

💤 Prediction and Classification of Sleep

• Machine Learning using R
• Goal: To predict the number of hours of sleep and classify if patient has sleep trouble using nutrition examination surveys.

🐵 Evaluation of Monkeypox Cases and Trends Across Multiple Continents

• Wrangling and visualization using R
• Goal: To determine common symptoms words using text analysis and identify which countries were most impacted by Monkeypox and of the most impacted country, which months has increased case count

🦇 R-Shiny Interactive Dashboard Video of California Skilled Nursing Facilities COVID-19 Cases and Deaths

• Visualization using R-Shiny
• Goal: To determine counties that are still affected by COVID-19 related deaths

Group project:

🏀 Predicting NBA Salary Based on 2017-2018 Salary Data Using Multiple Linear Regression

• Modeling using Multiple Linear Regression in R
• Goal: To determine if there is a relationship or correlation between an NBA's player's performance statistics with their salary