Enterprise UX, taxonomy, and information architecture projects.
My work sits at the intersection of user experience, taxonomy, and data. With a background in enterprise UX and a master’s in library science, I specialize in designing clarity into complex systems — whether through interaction design, metadata modeling, content ecosystems, or data‑driven workflows. These case studies represent selected work across UX, taxonomy, and emerging data‑analysis projects.
Much of my experience has taken place in enterprise and internal environments, where the systems are complex and the constraints are real. Some examples have been anonymized or adapted to protect client and organizational confidentiality.
The focus here is not on visual polish alone, but on the thinking behind the work — how problems were framed, how decisions were made, and how structure supported usability over time.
Across these projects, the consistent through line is the user. Whether designing workflows, shaping taxonomies, or evaluating systems, my work centers on how people understand information, make decisions, and navigate complexity. The projects below reflect recurring themes in my practice: clarifying ambiguity, aligning stakeholders, designing for information-heavy environments, and building systems that are sustainable beyond initial launch.

PreCheck MyScript
User Experience Design
Real‑time prescription cost transparency that improved provider satisfaction by 22%.

Enterprise Content Taxonomy
Taxonomy & Metadata
A deep dive into how I applied my UX background and library‑science training to create a scalable taxonomy supporting thousands of enterprise content assets. This case study will explore metadata modeling, governance workflows, content classification, and the role of taxonomy in improving findability and operational efficiency.

Data‑Driven Workflow Insights
Data Analysis Case Study
This case study will highlights how I analyze data patterns, identify workflow bottlenecks, and translate insights into actionable design recommendations. It will focus on bridging UX, data, and system logic to improve decision‑making and operational clarity.