My Projects

1. Student Statistical Consultant (Capstone Project)

  • With guidance from Dr. Rodolfo Lourenzutti, I worked for a client analyzing changes in glaucoma eye surgery in an apprentice type of job.
  • Real client work, regular meetings with the professor presenting work, poster board and oral presentations
  • Produced reports, code, and worked directly for the client using the R programming language and GitHub
  • Learned about complications with study design, model selection, and effective statistical communication
Figure 1: STAT 450 Poster Board: Presenting our Findings!

2. The Daily Grind (CMD-F Hackathon)

  • A 24 hour Computer Science Hackathon on the weekend of March 8-9th, 2025
  • Winners of the “Social Track” for our coffee-chat conversation starter using AI
  • Won 3rd place overall, with 50+ projects and 200+ participants
  • Presented work to 7 judges individually, and in the final round presented in front of the entire Hackathon community (over 250+ people).
  • For more info, see our Devpost.
Figure 2: Preview of the conversation starter app we built! For more info, see our devpost. This is a popup window where you can add additional information to help create useful conversation topics.

3. DSCI 310: Reproducible and Trustworthy Workflows

An analysis and package that is a fully reproducible and robust data analysis project, comprised of:

  • A well documented and modularized software package and scripts written in R,
  • A data analysis pipeline automated with GNU Make and Makefile’s,
  • A reproducible report powered by R Markdown and Quarto,
  • A containerized computational environment created and made shareable by Docker, and
  • A remote version control repository on GitHub for project collaboration and sharing,
  • As well as automation of test suite execution and documentation and software deployment.

For my group’s work, see the R package repository here and the analysis repository here.

Figure 3: Screenshot of Package Repository. See the package here and the analysis here.

4. Weather Extremes Research

  • Working at UBC from May to August 2024 under an URSA NSERC scholarship
  • Finding patterns and explanations for climate extremes. Dealt with Canadian weather data, relating to floods, droughts, and wildfires using Python and R languages. Completed EDA and used various statistical analyses to gain insight into weather patterns and time series analysis.
  • Analyzed many research papers, presented work weekly, and assisted both professor Harry Joe and professor Natalia Nolde with various tasks.
  • Work will be published on a public repository soon!

5. ASA DataFest

ASA Datafest Presentation
Figure 4: See the presentation at this link.

6. wordplayr - An R Package

  • The aim of wordplay is to learn more about your favorite list of words! Learn about metrics such as length, most frequent starting letter, and much more with ease!
  • A fully functioning R package with clear README.Rmd instructions on how to install and use, along with a vignette, website, and Roxygen comments to help guide the user.
  • I have built up a ‘list of favorite words’ over the years and wanting to learn more about them is what inspired me to make this package!
  • See the R package repository and the package website.

Figure 5: A preview of the package website

7. Python Dashboard & Data Visualization

DSCI 320 Dashboard

With two group members, we created the following dashboard where we had to create inventive visualizations to explain 4 questions. We looked into trends for attendance at libraries in the San Francisco area. The dashboard is interactive and has toggle options that don’t show up in the saved image.

Figure 6: Dashboard for a data visualization course (DSCI 320)

8. easyEDA - A Python Package (In development)

  • A Python Package (still in progress) such that you can “automate” EDA for any given dataset.
  • Functions will quickly and easily create proper plots based on data types, for any and all columns.
  • Code will be done with Python so that you can include interactive visuals, but will expand to R too.
  • Link to the repository here