I am a data analyst with 7+ years of experience in data preprocessing, statistical data analysis, data visualization, and data-driven insights within the biomedical domain for organizations valued at $352M+.

Some of my greatest accomplishments include:

• Optimizing data preprocessing for 10+ large datasets leveraging data documentation, increasing analysis efficiency by 30%

• Developing 20+ testable hypotheses based on KPIs capturing stakeholder objectives

• Creating 20+ reports to communicate data-driven insights to technical and non-technical stakeholders

My medical domain knowledge, data analysis skills, and science communication background will contribute to improving patient health outcomes and advancing medical treatment practices through engaging data-driven narratives.

The University of Nevada, Reno is classified as a Carnegie® R1 Institution with a $352M endowment, a $188.5M annual research expenditure, and a $1.34B regional economic impact. The organization has invested over $850M in facilities and supports 8000+ employees.

• One of 10+ data analysts on an XFN team collaborating on internationally recognized projects in biological anthropology

• Collected quantitative anthropometric data from 700+ individuals and wrote 10,000+ lines of code analyzing 50,000+ data points

• Conducted parametric and non-parametric hypothesis testing for 10+ data projects in Excel and R

• Built machine learning models in R to investigate how environmental factors shape human biology

• Trained 5 junior data analysts in software utilization, statistical hypothesis testing, presentation delivery, and data collection protocol implementation

• Served on a team with a $400K+ budget that constructed an Access database and SOP to facilitate data gathering standardization

• Received 10+ awards with a $15K+ value for research excellence and commitment to service