Woman In The Garden
Woman In The Garden
©2025

My Data Lens*

I study Data Science at UCLA to uncover the hidden patterns that shape how we move through the world. This space traces my path, where logic meets curiosity, and structure becomes a language for understanding.


Data at UCLA is a dynamic space where creativity meets computation.®


Data at UCLA is a dynamic space where creativity meets computation.®



Statistics at UCLA

Technical Toolbox

(NG® — 06)

©2025

Technical Toolbox

(NG® — 06)

©2025

Technical Skills®

🎓 Education
B.S. Statistics & Data Science, UCLA
Expected Graduation: June 2027
Relevant Coursework: Single Variable Calculus, Multivariable Calculus, Statistical Reasoning, Statistical Programming in R, Intro to Data Science

Skill Set

Skill Set

Application

Application

R, Java, Python (Jupyter Notebooks, PyCharm), PL/SQL

Programming Languages

R, Java, Python (Jupyter Notebooks, PyCharm), PL/SQL

Programming Languages

Pandas, NumPy, Statistics & Probability, A/B Testing

Data Analysis

Pandas, NumPy, Statistics & Probability, A/B Testing

Data Analysis

Scikit-Learn, Matplotlib, Seaborn

Machine Learning

Scikit-Learn, Matplotlib, Seaborn

Machine Learning

MS SQL Server, Redshift, Data Warehousing, Data Modeling

Databases & Data Warehousing

MS SQL Server, Redshift, Data Warehousing, Data Modeling

Databases & Data Warehousing

AWS, Oracle Cloud, Power BI, Tableau, Oracle Analytics Cloud (OAC)

Cloud & Visualization Platforms

AWS, Oracle Cloud, Power BI, Tableau, Oracle Analytics Cloud (OAC)

Cloud & Visualization Platforms

Agile, Waterfall, SDLC

Project Management

Agile, Waterfall, SDLC

Project Management

Application®

Application®

Where theory meets impact, these experiences highlight the application of classroom concepts to collaborative, real-world projects.

📊 Data Science & Statistics Club

Member | ASA DataFest Contributor

June 2024– Present

UCLA's Statistics and Data Science Club, offering technical workshops, speaker events, and opportunities like DataFest for students to apply data analysis skills to real-world datasets.

📊 Data Science & Statistics Club

Member | ASA DataFest Contributor

June 2024– Present

UCLA's Statistics and Data Science Club, offering technical workshops, speaker events, and opportunities like DataFest for students to apply data analysis skills to real-world datasets.

📉 Statistics Team for the Advancement and Nurturing of Diversity (STAND)

Volunteer | Statistical Advocacy

September 2024-Present

At UCLA’s Department of Statistics & Data Science, STAND (Statistics Team for the Advancement and Nurturing of Diversity) is a student-led initiative focused on fostering diversity, equity, inclusion, and community-building within the department.

📉 Statistics Team for the Advancement and Nurturing of Diversity (STAND)

Volunteer | Statistical Advocacy

September 2024-Present

STAND at UCLA is a student organization that partners with UCLA Statistics PhD faculty to apply data-driven methods toward genocide education, prevention advocacy, and humanitarian awareness through research, events, and outreach.

🌍 DataX Global Innovation Lab

Global Analytics Training

August-September 2024

DataX is a global innovation lab training that connects students with interdisciplinary projects at the intersection of data science, design, and social impact.

🌍 DataX Global Innovation Lab

Global Analytics Training

August-September 2024

DataX is a global innovation lab training that connects students with interdisciplinary projects at the intersection of data science, design, and social impact.

Most Recent Project

(NG® — 06)

©2025

Most Recent Projecy

(NG® — 06)

©2025

🌀 Scary Maze: R Web Game Project


🌀 Scary Maze: R Web Game Project

My most recent project!


The player navigates a deceptively simple maze using keyboard-based input tracked by custom JavaScript event listeners, while the game monitors real-time collision detection using bounding box comparisons. A timed jump scare, triggered by synchronized audio and DOM overlays, completes the eerie experience.



I implemented reactive game rounds using renderUI() and reactiveVal() to dynamically generate the interface and track level progression. To enable smooth interaction between the R server and browser, I integrated custom JavaScript message handlers via Shiny.addCustomMessageHandler() — allowing seamless communication between logic and layout.



The game is hosted on shinyapps.io, bundled using the rsconnect package, and fully version-controlled through GitHub. No downloads, no installs — just a browser, a maze, and a moment of chaos.


🎮 Play the game →
💻 View source code →


This project pushed me to explore the creative edges of statistical tools — showing that even a language built for data can become a playground for storytelling, surprise, and interactive design. It’s a piece of my childhood re-engineered through code.








The player navigates a deceptively simple maze using keyboard-based input tracked by custom JavaScript event listeners, while the game monitors real-time collision detection using bounding box comparisons. A timed jump scare, triggered by synchronized audio and DOM overlays, completes the eerie experience.



I implemented reactive game rounds using renderUI() and reactiveVal() to dynamically generate the interface and track level progression. To enable smooth interaction between the R server and browser, I integrated custom JavaScript message handlers via Shiny.addCustomMessageHandler() — allowing seamless communication between logic and layout.

The game is hosted on shinyapps.io, bundled using the rsconnect package, and fully version-controlled through GitHub. No downloads, no installs — just a browser, a maze, and a moment of chaos.


🎮 Play the game →
💻 View source code →



This project pushed me to explore the creative edges of statistical tools — showing that even a language built for data can become a playground for storytelling, surprise, and interactive design. It’s a piece of my childhood re-engineered through code.




Woman Wearing Sunglasses
Woman Wearing Sunglasses
Woman In The Garden
Woman In The Garden
©2025

My Data Lens*

I study Data Science at UCLA to uncover the hidden patterns that shape how we move through the world. This space traces my path, where logic meets curiosity, and structure becomes a language for understanding.



Data at UCLA is a dynamic space where creativity meets computation. ®


Learn more about this community!

Statistics at UCLA

Technical Toolbox

©2025

Technical Skills®

🎓 Education
B.S. Statistics & Data Science, UCLA
Expected Graduation: June 2027
Relevant Coursework: Single Variable Calculus, Multivariable Calculus, Statistical Reasoning, Statistical Programming in R, Intro to Data Science

Skill Set

Application

R, Java, Python (Jupyter Notebooks, PyCharm), PL/SQL

Programming Languages

Pandas, NumPy, Statistics & Probability, A/B Testing

Data Analysis

Scikit-Learn, Matplotlib, Seaborn

Machine Learning

MS SQL Server, Redshift, Data Warehousing, Data Modeling

Databases & Data Warehousing

AWS, Oracle Cloud, Power BI, Tableau, Oracle Analytics Cloud (OAC)

Cloud & Visualization Platforms

Agile, Waterfall, SDLC

Project Management

Application®

Where theory meets impact, these experiences highlight the application of classroom concepts to collaborative, real-world projects.

📊 Data Science & Statistics Club

Member | ASA DataFest Contributor

June 2024– Present

UCLA's Statistics and Data Science Club, offering technical workshops, speaker events, and opportunities like DataFest for students to apply data analysis skills to real-world datasets.

📉 Statistics Team for the Advancement and Nurturing of Diversity (STAND)

Volunteer | Statistical Advocacy

September 2024-Present

At UCLA’s Department of Statistics & Data Science, STAND (Statistics Team for the Advancement and Nurturing of Diversity) is a student-led initiative focused on fostering diversity, equity, inclusion, and community-building within the department.

🌍 DataX Global Innovation Lab

Global Analytics Training

August-September 2024

DataX is a global innovation lab training that connects students with interdisciplinary projects at the intersection of data science, design, and social impact.

Most Recent Project

©2025


🌀 Scary Maze: R Web Game Project


My most recent project!



The player navigates a deceptively simple maze using keyboard-based input tracked by custom JavaScript event listeners, while the game monitors real-time collision detection using bounding box comparisons. A timed jump scare, triggered by synchronized audio and DOM overlays, completes the eerie experience.


I implemented reactive game rounds using renderUI() and reactiveVal() to dynamically generate the interface and track level progression. To enable smooth interaction between the R server and browser, I integrated custom JavaScript message handlers via Shiny.addCustomMessageHandler() — allowing seamless communication between logic and layout.


The game is hosted on shinyapps.io, bundled using the rsconnect package, and fully version-controlled through GitHub. No downloads, no installs — just a browser, a maze, and a moment of chaos.


🎮 Play the game →
💻 View source code →


This project pushed me to explore the creative edges of statistical tools — showing that even a language built for data can become a playground for storytelling, surprise, and interactive design. It’s a piece of my childhood re-engineered through code.


Woman Wearing Sunglasses
Woman In The Garden
Woman In The Garden
©2025

My Data Lens*

I study Data Science at UCLA to uncover the hidden patterns that shape how we move through the world. This space traces my path, where logic meets curiosity, and structure becomes a language for understanding.


Data at UCLA is a dynamic space where creativity meets computation.®


Learn more about this community!


Statistics at UCLA

Technical Toolbox

(NG® — 06)

©2025

Technical Skills®

🎓 Education
B.S. Statistics & Data Science, UCLA
Expected Graduation: June 2027
Relevant Coursework: Single Variable Calculus, Multivariable Calculus, Statistical Reasoning, Statistical Programming in R, Intro to Data Science

Skill Set

Application

R, Java, Python (Jupyter Notebooks, PyCharm), PL/SQL

Programming Languages

Pandas, NumPy, Statistics & Probability, A/B Testing

Data Analysis

Scikit-Learn, Matplotlib, Seaborn

Machine Learning

MS SQL Server, Redshift, Data Warehousing, Data Modeling

Databases & Data Warehousing

AWS, Oracle Cloud, Power BI, Tableau, Oracle Analytics Cloud (OAC)

Cloud & Visualization Platforms

Agile, Waterfall, SDLC

Project Management

Application®

Where theory meets impact, these experiences highlight the application of classroom concepts to collaborative, real-world projects.

📊 Data Science & Statistics Club

Member | ASA DataFest Contributor

June 2024– Present

UCLA's Statistics and Data Science Club, offering technical workshops, speaker events, and opportunities like DataFest for students to apply data analysis skills to real-world datasets.

📉 Statistics Team for the Advancement and Nurturing of Diversity (STAND)

Volunteer | Statistical Advocacy

September 2024-Present

At UCLA’s Department of Statistics & Data Science, STAND (Statistics Team for the Advancement and Nurturing of Diversity) is a student-led initiative focused on fostering diversity, equity, inclusion, and community-building within the department.

🌍 DataX Global Innovation Lab

Global Analytics Training

August-September 2024

DataX is a global innovation lab training that connects students with interdisciplinary projects at the intersection of data science, design, and social impact.

Most Recent Project

(NG® — 06)

©2025

🌀 Scary Maze: R Web Game Project

My most recent project!


The player navigates a deceptively simple maze using keyboard-based input tracked by custom JavaScript event listeners, while the game monitors real-time collision detection using bounding box comparisons. A timed jump scare, triggered by synchronized audio and DOM overlays, completes the eerie experience.



I implemented reactive game rounds using renderUI() and reactiveVal() to dynamically generate the interface and track level progression. To enable smooth interaction between the R server and browser, I integrated custom JavaScript message handlers via Shiny.addCustomMessageHandler() — allowing seamless communication between logic and layout.



The game is hosted on shinyapps.io, bundled using the rsconnect package, and fully version-controlled through GitHub. No downloads, no installs — just a browser, a maze, and a moment of chaos.


🎮 Play the game →
💻 View source code →


This project pushed me to explore the creative edges of statistical tools — showing that even a language built for data can become a playground for storytelling, surprise, and interactive design. It’s a piece of my childhood re-engineered through code.





Woman Wearing Sunglasses