Projects
Here is a selection of projects that showcase my approach to design, data, and AI. They highlight how I combine research, creativity, and technical skills to create solutions that are both functional and meaningful.
UX & Design
Credit Buddy Management App
Research-driven UX design project focused on improving financial literacy and credit management for young adults.
Figma · UX Research · Prototyping · Usability Testing
Context
Credit Buddy was developed as part of CSC396, a studio-based course centered on iterative, user-centered design. The project was completed in a team of five and progressed from early research to a fully tested high-fidelity prototype.
Research & Problem Definition
The project began with individual literature reviews examining financial literacy, credit behavior, and systemic barriers to understanding credit. These findings were synthesized to identify a core problem: young adults lack accessible and trustworthy tools for managing credit.
Primary research was conducted with a defined and reachable target audience through interviews and surveys. Results were analyzed collaboratively to extract key themes, pain points, and behavioral insights, which informed the design guidelines.
Design & Iteration
Each team member independently created low-fidelity prototypes, which were informally usability tested. Insights from testing were combined to develop a unified high-fidelity prototype in Figma.
Formal usability testing was conducted on the high-fidelity prototype, and the design was iterated based on findings related to clarity, terminology, and user trust.
Deliverables
- Research summaries and synthesized insights
- Low- and high-fidelity prototypes
- Usability testing reports and iteration notes
- Final design documentation and presentation
Adora Clothing Website Prototype
A brand and website prototype inspired by my Depop shop, focused on translating personal aesthetic and product curation into a cohesive digital retail experience.
Figma · Visual Design · Branding · UX Design
Context & Goal
Adora is a conceptual clothing brand developed to explore how a personal resale business can be translated into a cohesive online retail experience. The project focused on defining a clear brand identity, visual language, and user flow for an independent fashion website.
Brand Exploration
The goal was to articulate a consistent aesthetic that reflected the curated, vintage-inspired nature of the clothing. I explored typography, color palettes, layout hierarchy, and editorial-style imagery to create a brand that felt intentional and cohesive rather than purely transactional.
Design Process
- Defined brand values and visual direction based on existing product curation
- Designed homepage, product listings, and editorial-style sections
- Used real product images from my Depop shop to ground the prototype
- Incorporated placeholder lifestyle imagery to communicate mood and atmosphere
Outcome
The final deliverable is a high-fidelity website prototype that demonstrates branding, visual design, and layout decisions for a small-scale fashion brand, with an emphasis on storytelling and aesthetic cohesion.
Note: Product images are from my Depop shop. Lifestyle and banner imagery was used as visual reference material to communicate design intent.
Isabella Gardner Museum Heist Neatline
Interactive spatial narrative exploring the 1990 Isabella Gardner Museum art heist and its immediate aftermath.
Omeka · Neatline · Digital Storytelling · UX Research · Spatial Narrative
Context & Purpose
This project examines one of the most infamous unsolved art thefts in history, mapping the museum layout and sequencing key events before, during, and after the 1990 heist. The goal is to provide an interactive, narrative-driven exploration of the crime scene and investigative findings.
Research & Design Approach
We gathered historical records, crime scene reports, and museum documentation to reconstruct events. Using Omeka and Neatline, we designed a timeline and spatial interface to guide users through the sequence of events. The project emphasizes information hierarchy, interpretive storytelling, and intuitive exploration.
User Experience & Interaction
Users can navigate the museum layout, view event annotations, and explore temporal sequences interactively. Design decisions prioritized clarity, pacing, and meaningful engagement with complex spatial and temporal data.
Deliverables
Interactive Omeka + Neatline project, curated timeline and map annotations, and documentation of research and design decisions.
Data & Analytics
TTC Subway Delays Analysis
Data analysis project examining patterns, causes, and impacts of subway delays across Toronto’s TTC network using multi-year incident data.
Python · Pandas · NumPy · Matplotlib · Scikit-learn · Data Analysis
This project analyzed TTC subway delay incidents from 2020–2024 to identify systemic patterns in delay frequency, duration, and causes. The analysis focused on temporal trends, station-level disruption, and the role of passenger-related incidents in overall service reliability.
Data Preparation & Analysis
The dataset was cleaned and standardized to resolve inconsistent station names, timestamps, and delay codes. Delay causes were grouped into passenger-related, system-related, and fire/weather-related categories to support comparative analysis across time and locations.
Key Findings
Results showed a steady increase in total delay minutes over time, with passenger-related incidents accounting for the majority of disruptions. Major transfer stations experienced disproportionately high delay durations, and late-day hours contributed most to cumulative service impact.
Modeling & Deliverables
A Random Forest classification model was developed to predict delay cause categories using temporal features and delay duration. Deliverables included cleaned datasets, exploratory visualizations, a predictive model, and a written analytical report summarizing findings and recommendations.
UFO Sightings Interactive Visualization
Developed an interactive web-based visualization of UFO sightings across Canada, focusing on data storytelling and user interactivity using D3.js.
HTML · CSS · D3.js · Data Visualization · Interactive Design
Part of CSC316, a course centered on web-based data visualization and interactive storytelling. The project allows users to explore temporal, geographic, and shape-based trends in UFO sightings, with multiple interactive features.
Research & Problem Definition
Sourced and cleaned UFO sighting reports from NUFORC. Created supplemental datasets for airports, military bases, and sci-fi films. Peer interviews and testing informed usability and interaction design.
Interactive Features
- Temporal Trends Visualization: Animated line chart showing sightings over time with year-by-year dots and pop culture markers.
- Clock Visualization: Explore sightings by time-of-day with synchronized line charts and seasonal filtering.
- Interactive Map: Key sightings vs all sightings with proximity to airports/military bases; clickable icons show details.
- Witness & Ship Count Visualization: Interactive landing zone with visual representation of witness and UFO ship counts; dynamic filtering options.
- Shape Visualization: Starry night layout showing reported UFO shapes; click to reveal descriptions and counts; toggle resizing by frequency.
Design & Iteration
Layouts and interactions were iteratively improved based on feedback to optimize readability, clarity of insights, and user engagement.
Deliverables
Complete HTML, CSS, and JS code; cleaned datasets; documentation of design decisions and iteration notes; live website and screencast.
AI / ML & Research
Employee Absenteeism Prediction Models
Built and evaluated classification, regression, and clustering models to predict employee absenteeism hours. Focused on model evaluation, feature selection, and interpretability.
Python · TensorFlow · Scikit-learn · Machine Learning
Chair Drawings: AI vs Artist
Comparative study analyzing AI-generated chair drawings versus human artists. Explored cognition, creativity, and style differences using computational methods.
Python · Machine Learning · Digital Humanities · Analysis