Resume

Education

California Polytechnic University San Luis Obispo

M.S. Statistics, Minor in Data Science

Graduated: June 2025

GPA: 3.98 / 4.0

June 2024 - June 2025

Statistical Programming Intern / Consultant

Led the development of a custom process for creating analysis datasets in R, with seamless transfer capabilities to SAS, supporting the potential use of R for production programming over SAS
Developed a custom QC function in R to standardize dataset validation across the team, incorporating automated checks and custom functionalities to make QC checks more robust
Explored the use of a generative AI for common statistical programming tasks to assess its effectiveness, limitations, and integration potential for future projects
Supported company clinical research with creation of analysis datasets, tables, listings, and figures using both R and SAS

June 2022 - August 2022

Data & Analytics Intern

Created reusable SQL procedures summarizing housing data into monthly trends tracking the number of houses for sale, houses sold, new listings, pending sales, and more
Built an interactive, auto-refreshing dashboard to visualize housing trends, enabling the real-time updates for trends in the housing market
Cleaned, merged, and validated malformed client and company data across many platforms (SQL Server, Snowflake, Excel), to answer company and client information needs

June 2025

Density-Based and Model-Based Clustering with tidyclust in R

Contributed implementations for DBSCAN and Gaussian Mixture Models (GMMs) to the tidyclust package in R, expanding the package to include density-based and model-based clustering
Independently researched each method to justify design choices around model arguments, fitting, prediction, and tuning, ensuring each model is self-documenting, user-friendly, and aligned with principles demonstrated in the tidyverse
Designed a novel way to parameterize different GMM model specifications, enabling users to more easily select model specifications aligned with their data characteristics
Implemented a modification to the DBSCAN algorithm to make the algorithm deterministic and return the same cluster assignments regardless of the order the data was processed

February 2023

Modeled professional soccer player roles based on on-field actions relating to shooting, passing, possession, and defending statistics to identify players based on their on-field actions and playstyle instead of their position
Performed clustering to identify the different types of play styles for different groups of players, using the cluster centroids to define each cluster with a characteristic name. (Ex. Ball-playing defenders, Midfield destroyers, …)
Used cosine similarity to identify undervalued players for smaller teams who compare favorably to elite players playing for established teams in Europe indicating a potential for growth when playing in a more dominant team

Awarded for Highest GPA in Statistics Major

June 2025

June 2024

March 2022