About Me

Throughout my career, I've gained extensive experience in statistical analysis, machine learning, and data visualization. I have a passion for using data to better understand and address real-world issues, particularly in the fields of public health and epidemiology. I hold a Master's degree in Public Health and I specialize in Epidemiology. I have worked on numerous projects involving the analysis of large and complex datasets. My skills and experience make me well-suited to tackle a wide range of data-related challenges, from identifying trends and patterns to predicting outcomes and making recommendations.

Programming Languages & Visual Tools

Statistical Analysis System (SAS), R/RStudio, ArcMap, ArcGIS, ArcGIS Pro, Python, Tableau, SQL, Power BI

Data Analytic Techniques

Data Wrangling, Big Data, Mapping, Spatial analysis, Machine Learning, Reporting, Descriptive statistics, Reporting, Data Scrapping, Visualization, Problem-solving trouble shooting, Pattern and Trend Identification.

Epidemiologic Public Health Methods & Techniques

In-field qualitative and quantitative data collection, survey methods, public health data consultation, surveillance, epidemiologic investigation, contact tracing, public health speaking/teaching/presentation to focus groups and audience.

Check Out My Projects!

Does support serve as a protective factor for children living in areas of Low SES?

A binary logistic regression was used to determine the effects of demographics, SES, grade, and support towards CAASP test results using RStudio and SAS. GIS was used to determine the spatial analysis of student’s living conditions and factors that come with it by zipcode.

Predicting the spread of the Corona Virus(COVID-19) among the Homeless population using projection models.

Rstudio using EpiModel, Public health County data and creating simulations based on COVID-19 Public health interventions.

How Chlamydia affects the Minority Population in the City of San Bernardino.

This video presentation was presented to Loma Linda University Health and San Bernardino County Public Health.

Hotel Revenue Dashboard

Revenue Dashboard was queried in SQL and created in PowerBI to answer questions for stakeholders.

Using demographic and diagnostic hospital data to help answer analytical questions

Using Excel, analyzing de-identified hospital to answer questions to answer several goals hospital project goals to further help increase production efficiency.

COVID-19 Global Vaccine Tracker

This interative dashboard was created in Tableau to track countries that are vaccinated and unvaccinated against COVID-19.