Krisha Sompura

I’m a Data Science graduate student and a Business Analyst Intern at Amazon, specializing in scalable analytics, KPI dashboard design, and quantitative validation frameworks. I focus on converting high-overhead manual work into automated, cost-efficient reporting that leaders can trust.

At Amazon, I built an automated data pipeline (Nova Lite, Canvas, and VLM Judge) to generate personalized seller gap reports, accelerating generation speed by 120x and removing an error-prone manual audit workflow. I also delivered end-to-end customer journey dashboards on Quicksight for Hispanic Affinity Brands, tracking full-funnel KPIs and leading UAT cycles through stakeholder deep-dives.

Beyond dashboards, I’ve applied rigorous modeling and validation—from taxonomy mapping across a 25M-item catalog with hierarchical clustering to research risk modeling and probabilistic mapping at DAIICT. I bring a stakeholder-driven, requirements-first approach, and I enjoy building repeatable systems that turn enterprise-scale data into decision-ready insights.