Biostatistician, mathematician, and data analyst passionate about public health, equity, and transforming data into actionable solutions. As someone living with epilepsy, I am a lifelong learner with a deep interest in epilepsy-related conditions, data-driven public health topics, and the mathematical concepts that underpin them. I'm also intellectually curious beyond my field, with a particular appreciation for historical topics as a lens to understand broader social and scientific contexts.

💼 Current Role

• Biostatistician & Data Analyst | Independent Contractor (May – December 2025)

  • Build, manage, and document large databases (Excel, R, Python, SQL).
  • Provide statistical consulting for public health and infrastructure projects.
  • Collaborate with professionals from multiple fields to deliver data products aligned with policy and planning goals.
  • Conduct socioeconomic analyses focused on poverty, employment, health coverage, and demographic projections.

• Data Analyst – Grupo Nexos Inc. (April – June 2024)

  • Handled secure merges of datasets with over 24.8M records.
  • Ensured functionality, accuracy, and usability of a public access platform.
  • Delivered weekly reports and presented findings to technical and client teams.

🔬 Research Projects

• Capstone Project – Gender Violence & Health Services (Jun–Jul 2024)
  Collaborating with fellow graduate students in biostatistics and epidemiology, I designed and conducted statistical analyses for a study titled "Prevalence, Knowledge, and Attitudes of Gender-Based Violence among Women Receiving Services in Primary Care Health Centers in Puerto Rico." I contributed to survey design, data entry, Stata programming, and reporting under the guidance of Drs. Cynthia Pérez and Gilberto Ramos.

• PhD Dissertation Support – Urban Wetlands & Bayesian Modeling (Jun–Jul 2023)
  Guided a PhD student (at the time) in Bayesian analysis (MixSIAR in R) for research on plant-water interactions in tropical wetlands. Collaborated with Solimar Pinto Pacheco, PhD, and Dr. Elvira Cuevas.

• AI/ML & Health Disparities Course Project (Nov 2022 – May 2023)
  Supported instruction and analysis in a course applying Python (Scikit-learn, Jupyter, Anaconda) to study health disparities. Created demos and graded student assignments.

• COVID & HIV Study – Bayesian Survival Analysis (Sept 2022 – Feb 2023)
  Reviewed literature, practiced statistical modeling in WinBUGS/R, and prepared documents in LaTeX for a study on COVID outcomes among people living with and without HIV.

Also experienced in: Excel · Stata · Epi Info · OpenEpi