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ihnguyen/README.md

About Me

Clinical lab professional turned data analyst. My mission is to contribute to my community through my strengths in analytics and statistics.

SQL 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 of California Skilled Nursing Facilities COVID-19 Cases and Deaths

  • Visualization using R-Shiny and video presented by myself
  • 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

Popular repositories Loading

  1. cardiovascular cardiovascular Public

    Health Predictors Analysis Using SAS and SQL

    SAS

  2. sentimentanalysis_lakers sentimentanalysis_lakers Public

    A Twitter Sentiment Analysis Using R

  3. hospitalbed hospitalbed Public

    Predicting LOS on Medicare Claims Data Using SAS

    R

  4. ihnguyen ihnguyen Public

    Config files for my GitHub profile.

  5. disney disney Public

    Twitter Sentiment Analysis on a Marvel studios film

    R

  6. Shiny Shiny Public