CJ – Data Analysis & UX Design

I turn data into thoughtful digital design—balancing business priorities, user experience, and measurable outcomes.

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Strategic, Scalable, and Built with Data

Data Solutions with Real-World Reach I design and shape data-driven tools that don’t just look good—they get used. From contributing to full-stack applications adopted by Fortune 500 companies to crafting dashboards viewed by over 50,000 users, I help build scalable, intuitive solutions that drive impact.

My toolkit includes SQL, Power BI, Tableau, Power Apps, and Figma—combined with experience in biostatistics, medical research analytics, and population-level data. I apply systems thinking and rigorous methods like user testing and prompt-based evaluation to surface actionable insights and enable informed decision-making.

I’ve delivered results at organizations like Cisco, Raytheon Technologies, and Collins Aerospace—developing enterprise-grade tools and streamlining complex processes through automation and data integration. My contract work with the Regional Task Force on the Homeless and Emergency Medical Services sharpened my ability to build high-impact, public-facing solutions—proving that great design isn’t just for products; it’s for people too.

If you’re looking for someone who’s shipped solutions, driven strategy, and bridged data with design—let’s talk.

Smart Manufacturing Analytics Platform

To reduce operational costs in aerospace manufacturing, I developed a data visualization solution that transformed raw sensor data from 50 high-value machines into actionable insights. The tool enables teams to identify idle resource consumption, monitor historical machine performance, and make smarter allocation decisions—ultimately improving efficiency and avoiding unnecessary equipment purchases.

    • Critical production machines were underutilized, driving up costs

    • No clear visibility into machine downtime or operational efficiency

    • Difficulty identifying when machines were consuming power without contributing to production

    • Lack of data to support smarter resource allocation or delay costly new equipment purchases

    • Designed and developed the user-facing analytics platform to visualize machine utilization and downtime

    • Collborated with data engineering teams to integrate processed sensor data into a cohesive dashboard

    • Defined key usability goals and worked with stakeholders to ensure insights were actionable and aligned with operational needs

    • Focused on transforming complex machine behavior data into accessible, decision-driving visuals

    • Real-Time & Historical Visualization: Interactive dashboards display current machine performance alongside historical trends, enabling data-driven decision-making.

    • Idle Resource Detection: Identifies periods of unused resource consumption—such as electricity—highlighting opportunities for energy savings and efficiency gains.

    • Machine Comparison for Optimization: Side-by-side machine analytics help users allocate workloads intelligently based on capacity, status, and performance.

    • Enabled data-driven decisions around machine utilization

    • Helped avoid unnecessary equipment purchases

    • Improved shop floor efficiency

Internal Event Manager Application

Through close collaboration with stakeholders, I spearheaded the design strategy for a scalable, web-based event tracking platform. I led user testing efforts and partnered with cross-functional teams to shape a product tailored to real organizational needs. Now in active beta, it’s set to scale to 150,000+ users

  • Managing internal events lacked a unified, standardized workflow—leading to fragmented tools, inconsistent processes, and usability challenges for organizers and participants alike. Stakeholders needed a centralized platform that could streamline event tracking, reduce reliance on third-party vendors, and be scalable across teams.

    • Spearheaded design strategy in close collaboration with stakeholders

    • Created mid-fidelity prototypes and layered in interactivity to enable early usability testing

    • Conducted prompt-based user testing to understand users’ mental models and decision paths

      Synthesized user feedback and research findings into iterative design updates

    • Worked cross-functionally with developers to ensure a smooth and aligned implementation process

    • Event lifecycle tracking: From creation to follow-up, the platform supports full event oversight

    • Role-based workflows: Designed with distinct permissions and views for organizers and attendees

    • Intuitive UI: Streamlined task flow focused on high-frequency actions and clarity

    • Scalable design system: Built with future growth in mind, adaptable for broader organizational use

    • Currently in beta and gaining traction across teams

    • Positioned to scale to 150,000+ users within the organization

    • Expected to significantly reduce licensing costs and eliminate reliance on third-party tools

    • Resulted in clearer, faster event coordination and improved user satisfaction during testing phases

A.I. Assist – Intelligent Part Tracking & Scheduling

Led user research and UX design for an AI-powered feature within a web application that supports the flow of aerospace parts through autoclave machines—where processing errors can cost over $100K. Through stakeholder interviews, workflow mapping, and usability testing, I identified critical decision points and designed intuitive interfaces that guide operators in selecting optimal part sequences. The AI-assisted tool now helps users determine ideal processing order and detect opportunities for batching, improving efficiency and reducing risk.

  • Autoclave machines are expensive, high-risk assets where processing errors can cost over $100K. The web-based Autoclave Loading Tool had no intelligent support for scheduling parts, leading to inefficiencies, human error, and missed batching opportunities. The team was tasked with integrating an AI-assisted feature to guide operators in optimizing part selection and reducing costly missteps

    • Conducted contextual research on-site at a Riverside facility, observing workflows and pain points on the shop floor.

    • Led 1:1 interviews with tool users to uncover edge cases and gain buy-in for AI integration.

    • Mapped current application workflows and identified gaps in information architecture.

    • Queried backend SQL data to ensure UI design would align with system logic and avoid breaking existing models.

    • Designed new interface components that minimized cognitive load while introducing advanced functionality.

    • AI-Driven Optimization: A new “Optimize Batch” button provides autofill suggestions based on AI output—streamlining decisions without disrupting existing workflows.

    • Smart Data Entry: Introduced an intuitive toggle interface for entering dimension data only when needed, reducing visual clutter.

    • Non-Disruptive Design: All features were introduced in familiar UI patterns to support adoption without additional training.

    • Seamless AI integration with no required rework or user retraining.

    • Accelerated development timeline due to upfront research and data modeling.

    • Decreased time to select part groupings, increasing throughput and efficiency.

    • New tracking capabilities are now enabling future analyses of usage patterns, error rates, and performance improvements.

Teaching Data Visualization

I’ve taught data visualization principles to hundreds of learners across industries — from small nonprofits to Fortune 500s — blending curiosity, empathy, and entertainment into engaging, human-centered learning. With a teaching philosophy rooted in storytelling, interactivity, and quirky data (think UFOs and Bigfoot), I aim to make concepts not just clear, but memorable. Over time, I’ve expanded my curriculum to include UX research, UX design, and Figma fundamentals — always adapting to learner needs and organizational goals

  • Teams and individuals often lack confidence in how to transform data into insights that drive decision-making. There's also a growing need for cross-functional design literacy.

    • Designed and facilitated workshops and custom training sessions for internal teams and external partners

    • Published visualizations viewed by 10,000+ users, using them as educational tools in live sessions

    • Expanded content to include foundational UX methods and Figma workflows

    • Interactive visual dashboards to reinforce training objectives

    • Entertaining, unconventional datasets to keep learners engaged (e.g. dog intelligence rankings, UFO sightings)

    • Classes designed to be audience-centered, using empathy and creativity to drive engagement and retention

  • Boosted data literacy across teams, empowered users to visualize and critique dashboards independently, and cultivated a culture of design-thinking through engaging, fun-first learning