Walmart Inc.

Role & Scope

Led UX for Data Science and Analytics platforms, supporting data scientists, analysts, and business users working on pricing, assortment, forecasting, and store operations.
Partnered closely with Product, Data Science, and Engineering to turn complex models into usable, explainable tools for real decision-makers.
Acted as a hybrid UX technologist—designing in Figma while also prototyping front-end interactions to validate performance and feasibility.

Strategy & Adoption

Data science platforms | strategy and adoption

Designed multi-tenant workbenches that unified disparate tools into a single, coherent experience for data scientists and analysts.
Simplified technically complex workflows into guided flows that non-technical stakeholders could navigate independently.
Worked with data scientists to expose model assumptions, confidence levels, and data lineage directly in the UI—building trust in AI-driven recommendations.
Established design patterns for high-information-density screens that balanced data richness with cognitive load.

Emerging Tech

Store & Merchandising Tools

Translated advanced analytics and ML-model outputs into store-facing tools that helped associates and merchants act on insights in real time.
Co-designed dashboards with store operators and merchants, ensuring terminology, thresholds, and visual hierarchy matched how they actually made decisions.
Tuned interaction and visual design for quick decision-making in fast-paced, high-stakes environments.
Incorporated experimentation hooks for A/B testing so teams could iterate on presentation without engineering intervention.

Platform Thinking

Experimentation, Measurement & Platform Thinking

Advocated for platform-level consistency across internal tools — reducing onboarding friction for users who moved between products.
Embedded experiment design into the product planning process, ensuring features launched with clear success metrics and measurement plans.
Partnered with Engineering on a shared component library that reduced duplicate work and accelerated delivery across the portfolio.
Socialized findings through internal demos and roadshows, turning UX research into organizational knowledge.

Selected Work

Case Studies

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NDA

Case Study

Computer Vision (Wallaby)

Gamified image-labeling platform for Data Science teams that turned store photos into high-quality training data, cutting annotation time and boosting model accuracy.

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NDA

Case Study

Design System (Unity)

Design system for Walmart's Data Science tools that standardized layouts, visualization patterns, and components so teams could ship new analytics apps faster with a consistent, trustworthy UX.