Statistical Modeling · Reproducible Pipelines · Large-Scale Observational Data

Data Science & Statistics student at San Diego State University, building reproducible analytical systems for public health and scientific research.

Experience designing data workflows and statistical models for:

• Epidemiological surveillance (CDC, NCIRD)
• Astronomical time-series analysis (Vera C. Rubin Observatory)
• Operational analytics in higher education systems

Primary focus: translating complex observational data into structured, validated, decision-ready outputs.

Languages
Python · R · SQL · SAS

Statistical Methods
Regression (GLMs) · Time-Series Analysis · Statistical Inference · Classification Modeling

Data Engineering
ETL Workflows · Data Validation Frameworks · Reproducible Research Pipelines · Structured Data Extraction

Core Libraries
pandas · NumPy · tidyverse · scikit-learn

Data Scientist — ORISE Fellow, CDC (NCIRD)

• Built reproducible Python/SQL pipelines for ingestion and transformation of surveillance datasets
• Implemented structured validation checks to ensure reporting integrity across reporting cycles
• Supported analytical outputs used in epidemiological monitoring and operational reporting

Focus: reliability, reproducibility, and scalable analytical workflows in public health systems.

Astronomical Data Scientist — Vera C. Rubin Observatory

• Designed end-to-end workflow for light-curve preprocessing and feature engineering
• Structured classification-ready datasets from raw observational signals
• Developed a reproducible analysis framework for variable star modeling

Technical Work:

↳ Comprehensible data workflow pipeline in Vera Rubin Demo

↳ Full technical work located in Vera Rubin

Focus: large-scale observational data, signal extraction, and statistical modeling.

Operations & Resources Analyst — SDSU Career Services

• Conducted structured analyses supporting student engagement and resource allocation decisions
• Contributed to collaborative internal data systems and reporting tools

Team Repository:

↳ Data & operations work through CSDataTeam

Data Scientist — SDSU Research Foundation
Applied statistical analysis in research settings with emphasis on structured documentation and reproducibility.

Technical Work:

↳ Selected project work documented in MPIE

Data Analyst — SDSU Student Life & Leadership
Project-based analytical support for organizational decision-making.

Technical Work:

↳ Project-based analyses documented in Jeffrey W. Glazer Center for Leadership and Service

B.S. Data Science & Statistics
San Diego State University
Expected May 2027