Product designer focused on building data informed, behavior centered software. I studied data science at UC Berkeley with an emphasis in human behavior and psychology, and I use that foundation to design products that are clear, trustworthy, and easy to use.
Owned the end-to-end design and delivery of Veiled’s Product Lifecycle Management and Warehouse Management platforms, supporting design, manufacturing, quality control, and fulfillment across the full ecommerce operation
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Designed and launched software workflows covering tech packs, sample iterations, measurement matrices, exceptions, PP approvals, purchase orders, SKUs, barcodes, inbound receiving, and inventory readiness
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Built the system of record used daily by fashion designers, sourcing, and warehouse teams to manage product development and production status
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Translated complex real-world fashion and logistics processes into intuitive, low-error software used to ship live collections
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Partnered with engineering to bring the platforms from concept to production while maintaining product vision, UX quality, and workflow integrity
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Increased visibility into product and inventory status, reducing production delays, labeling errors, and warehouse discrepancies
Designed and shipped a Shopify-based sales and inventory analytics tool used to filter, analyze, and visualize ecommerce performance across products and collections
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Built a data pipeline that connected Shopify data to visualization and reporting tools, enabling merchandising and operations teams to make faster, data informed decisions
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Worked with engineering, merchandising, and operations teams to translate business questions into usable dashboards and product insights
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Created UX flows that allowed non-technical users to explore sales trends, identify underperforming SKUs, and inform buying and production strategies
