About me
I am an experienced data analyst specializing in data visualization. I am an expert in transforming complex datasets into actionable insights using tools like SQL, Tableau, Power BI, and Python. I design visualizations that support data-driven decision-making, helping businesses make informed, strategic choices.
What I do
Scope the business need
Collect the data
Clean the data
Analyze the data
Visualize and/or share the finding
Employment
Data Visual / reporting Analyst
MedStar Institute for Quality and Safety
2024-current
Data Analyst
Georgetown University Hospital
2020-2024
Education
M.S. in Computational Science
George Mason University
Completed 2020
B.S. in Biology
George Mason University
Completed 2017
Certifications
Project Management Professional
2023
Tableau Desktop Specialist
2020
Portfolio
Chronic Heart Disease Prediction
Heart disease is the leading cause of death for men, women, and people of most racial and ethnic groups in the United States. Heart disease costs the United States about 219 billion dollars each year from 2014 to 2015. Analyzing and predicting the likelihood of developing CHD could help greatly in implementing prevention strategies to decrease the occurrence of CHD and therefore reducing the number of deaths in the US and the cost.
Tool: Python
Exploring Local COVID-19 Data
The Virginia Department of Health (VDH) is providing detailed, near real-time health data regarding COVID-19. This dataset is for public use. The datasets used in this project includes the cumulative (total) number of COVID-19 cases, hospitalizations, and deaths for each health district in Virginia by report date, age group, and race & ethnicity. My goal is to use my data mining skills to explore the data, visualize it, and find insights that could help better allocate the state resources.
Tool: Python
