Resume

Data scientist with a strong academic background and expertise in statistical analysis and modeling. With a Master’s degree in Statistics and coursework covering advanced statistical methodologies, I am equipped with the skills to handle large volumes of data, analyze complex datasets, and provide evidence-based insights. Proficient in various programming languages such as R, Python and SQL, I apply my statistical expertise to contribute to meaningful projects that shape public policy and benefit the most vulnerable residents of California.

Education

• Statistics M.S., University of California, Irvine, March 2023
  • Coursework in Probability and Statistical Theory, Statistical Methods in Linear Models, Categorical Data and Longitudinal Data, Bayesian Data Analysis, Infectious Disease Modeling, Spatial Statistics, Social Network Data, Survival Analysis
  • Designed the ggomoku R package and Shiny app as a pair project
• Statistical Science B.S., University of California, Santa Barbara, June 2018
  • Concentration in Applied Statistics
  • Coursework in Data Mining, Regression Analysis, Stochastic Processes, Non-Parametric Methods, Time Series, Advanced Statistical Methods, SAS Programming, Statistical Data Science

Skills

• Software Tools and Languages
  • R, Python, SQL
  • Windows, Linux
  • Bash, Git, Markdown, LaTeX
  • Snowflake, Oracle
• Languages
  • Spanish (B1), Portuguese (B1)

Research Experience

• University of California, Irvine, Mar 2022 - Jun 2022
  • Collaborated with Dr. Veronica Berrocal to analyze and visualize the spatial distribution of immune system cells relative to cancer outcome. Employed advanced statistical techniques and designed custom R functions to handle large-scale spatial data.

Work Experience

• Research Data Specialist, State of California, Department of Social Services, Dec 2023 - Present
  • Co-developing a data-imbued methodology to counter electronic benefits transfer (EBT) theft.
  • Utilizing Python, R and SQL and data warehousing platforms such as Snowflake to clean and analyze data and build machine learning models.
  • Developed the canectar R package which generates hexagonal choropleth (hexbin) plots for county-level data in the shape of the state of California.
  • Authoring documentation on the long-term adoption of replicable coding standards.
• Water Equity Lab Project Policy Analyst, Water Equity Lab, UC Irvine, Jul 2022 - Apr 2023
  • Analyzed and processed vector and raster data to identify disparities in access to water infrastructure among minority demographics.
  • Developed over 50 R functions utilizing the sf package, resulting in streamlined productivity for the team.
• Data Analyst, Valeo Networks, Sep 2018 - Sep 2020
  • Implemented predictive analytics solutions to identify trends and patterns in large datasets, contributing to data-driven decision-making.
  • Created a multiple linear regression pricing model in R, resulting in improved pricing strategies for a client’s business.
  • Developed interactive dashboards using Power BI, SAP Analytics Cloud, and BrightGauge to visualize key performance indicators and track business metrics.