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. See more about the Poster Session here.

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

A 48 hour Hackathon in a team of 3 for the American Statistical Association.
Created a fully reproducible project, with EDA and a complex statistical analysis
Created a dashboard, demonstration video, presentation using quarto, and analysis using a Bayesian model
See the repository: https://github.com/hlan22/asa_datafest_2025

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

--- # title: "My Projects" toc: true format: html: css: styles.css code-overflow: wrap # wraps the code around instead of scrolling embed-resources: true # images and such code-background: true # makes sure there is a different background for code blocks code-fold: true # "hides" code in a summary box above output code-summary: "Show Code" # renames the summary box title code-tools: true # makes a menu to show all code select at once --- <div class="centered-title">My Projects</div> --- # 1. Student Statistical Consultant (Capstone Project) {#capstone} * 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 ::: {#fig-poster-board} ![](../outputs/microshunt_poster_board.png) STAT 450 Poster Board. See more about the Poster Session [here](https://www.stat.ubc.ca/poster-session-stat-450-2). ::: --- # 2. [The Daily Grind (CMD-F Hackathon)](https://devpost.com/software/the-daily-grind) {#cmdf} * 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](https://devpost.com/software/the-daily-grind). ::: {#fig-grind height=60%} ![](https://d112y698adiu2z.cloudfront.net/photos/production/software_photos/003/317/679/datas/gallery.jpg)(https://devpost.com/software/the-daily-grind) Preview of the conversation starter app we built! For more info, see [our devpost](https://devpost.com/software/the-daily-grind). This is a popup window where you can add additional information to help create useful conversation topics. ::: --- # 3. DSCI 310: Reproducible and Trustworthy Workflows {#reproducible} 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](https://hlan22.github.io/asa_datafest_2025/#/title-slide) and the analysis repository [here](https://github.com/DSCI-310-2025/dsci-310-group-7-data-dudes). ::: {#fig-drugage height=60%} [![](../outputs/drugage_package_image.png)](https://github.com/DSCI-310-2025/pkg.drugage) Screenshot of Package Repository. See the package [here](https://hlan22.github.io/asa_datafest_2025/#/title-slide) and the analysis [here](https://github.com/DSCI-310-2025/dsci-310-group-7-data-dudes). ::: --- # 4. Weather Extremes Research {#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 {#datafest} * A **48 hour Hackathon** in a team of 3 for the [American Statistical Association](https://ww2.amstat.org/education/datafest/). * Created a fully reproducible project, with EDA and a complex statistical analysis * Created a dashboard, demonstration video, presentation using quarto, and analysis using a Bayesian model * See the repository: <https://github.com/hlan22/asa_datafest_2025> ::: {#fig-market-results} [![ASA Datafest Presentation](https://hlan22.github.io/asa_datafest_2025/#/results-all-markets)](https://hlan22.github.io/asa_datafest_2025/#/results-all-markets) See the presentation at [this link](https://hlan22.github.io/asa_datafest_2025/#/title-slide). ::: --- # 6. `wordplayr` - An R Package {#word} * 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](https://github.com/hlan22/wordplay) and the [package website](https://hlan22.github.io/wordplay/). ::: {#fig-wordplay} [![](../outputs/wordplay_website.png)](https://hlan22.github.io/wordplay/) A preview of the [package website](https://hlan22.github.io/wordplay/) ::: --- # 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. ::: {#fig-dsci-dashboard height=60%} ![](../outputs/dashboard_dsci320.png) Dashboard for a data visualization course (DSCI 320) ::: --- # 8. `easyEDA` - A Python Package (In development) {#easy} * 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](https://github.com/hlan22/easy_eda)