Portfolio

Skills Unpacked for 2025

A year-end marketing campaign created in collaboration with Marketing and Student Services of impact metrics made across all Chegg Skills programs in 2025. Images provided were distributed via social media, while a student-centric version, including graduation numbers and top skills learned, was distributed via email to former/current Skills students.
[LinkedIn][image of LinkedIn post]

Bidscale Connect Beta – Insights Panel

An interactive line chart showing the total number of open acquisitions available on Bidscale Connect Beta each week. Mousing over each dot provides the total number of open acquisitions. Combined with a collection of KPIs showing other weekly stats of acquisitions on Bidscale Connect Beta. Coded in Typescript D3 and MUI V5.
[Visualizations taken from official marketing materials]

Bidscale Select – Contract Specialist Dashboard

A collection of KPIs, a donut chart, and a line chart providing contract specialists insights into how their evaluations’ progress. Breaking down each evaluation into tasks, the dashboard not only provides updates on the status of each task, but also a forecast into how progress will continue in the future. Coded in Typescript D3 and MUI v5.
[Visualizations taken from official marketing materials]

Student Veteran Life Cycle Atlas

An interactive sunburst diagram showing the paths of veterans post-high school. Each node indicates a sequential stage in one’s life, going up to eight stages. Coded in JavaScript D3.
[video demo] [live visual]

Taylor Swift’s Song Discography

An ongoing analytics project that scrapes data from Genius via Parsel, stores it in an SQLite database, queries and analyzes it from the database via SQL and Pandas, and visualizes it using Matplotlib and Seaborn. Currently hosted on Streamlit as an interactive web application.
[Web App] [Github]

Ariana Grande’s Webstore Inventory

A webscraping project, hosted on AWS using AWS Lambda, Amazon S3, and Amazon EventBridge, that pulled raw product data from Ariana Grande’s webstore every five minutes. Data collection was from March 6, 2024 to April 7, 2024.
[Github]

Vinyl Collection on Discogs

An analytics project showcasing data pulled from the Discogs API and visualizations related to my personal vinyl collection. Coded in Python using Pandas for dataframe creation and analysis and Plotly for visualizations.
[Github] [nbviewer (for proper viewing of visuals)]