Himani Kaundal

I’m a UX Designer delivering data-driven, user-centered solutions across SaaS and e-commerce, with 2.5+ years of hands-on experience across end-to-end product UX. My background in Psychology and Data Science helps me connect user behavior insights with analytical thinking to design intuitive, scalable systems that solve complex business problems.

In my freelance Product Designer (UX) role, I’ve owned the full UX lifecycle across 6+ SaaS and e-commerce products—from stakeholder interviews and heuristic evaluations to wireframing, prototyping, usability testing, and developer handoff. I use behavioral analytics and funnel analysis to pinpoint friction and drive measurable outcomes, including identifying a 52% onboarding drop-off and redesigning flows to achieve ~35% improvement, plus re-architecting B2B analytics navigation for ~30% higher task success.

I also build scalable design foundations: I created a 60+ component Figma design system, applied WCAG 2.1, and ran A/B experiments with iterative validation in Agile sprint cycles. Before that, as a User Experience & Operations Analyst at eClerx, I analyzed recurring support issues to identify usability gaps and improve high-volume workflows, and I redesigned onboarding documentation to increase early-stage productivity for new hires.

My project work blends accessibility, systems thinking, and experimentation—whether diagnosing 65% cart drop-off to redesign discovery into an intent-driven flow (achieving ~55% faster time-to-decision and ~38% reduction in cart abandonment), designing a voice-first retail experience with intelligent fallback (reducing interactions to add-to-cart by ~45% and improving onboarding completion by ~30%), or mapping multi-stakeholder journeys to deliver role-based dashboards for procurement and logistics.

I’m equally comfortable translating analysis into decisions through data science projects—uncovering ~18% revenue leakage with Python/SQL EDA, building churn prediction with RFM + classification for ~22% churn reduction, and automating KPI reporting with Tableau/Power BI connected to live SQL (cutting reporting time from 4 hours to 30 minutes).