Kunal Priyadarshi
- Role
- Business Intelligence Engineer Ii at Amazon
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Kunal Priyadarshi
As a Business Intelligence Engineer II at Amazon, I focus on leveraging expertise in data…
Experience
Business Intelligence Engineer Ii
Sep 2022 — Present · San Francisco, CA, US
New Fire TV OS - Vega: Led the data strategy for the New Fire TV OS (Vega) launch, owning the end-to-end analytical process from data schema design and telemetry implementation to data validation, user privacy compliance, and scalable data pipeline development (Python/Spark), ensuring robust infrastructure for accurate OS health and performance measurement- Fire TV Experimentation Platform: Designed and analyzed A/B testing experiments on Fire TV platform serving millions of users. Conducted rigorous statistical analysis including power analysis and sample size determination, and defined primary and guardrail metrics frameworks to support data-driven go/no-go decisions for product launches- Alexa+ & AI-Powered Voice Search: Led end-to-end analytics for Alexa+ launch on Fire TV, analyzing diagnostic and usage data from millions of devices globally. Designed metrics validation frameworks, implemented data quality assurance processes, and conducted comprehensive pre/post-launch analysis to measure product performance and inform product roadmap decisions- GenAI Innovation: Initiated exploration into leveraging Generative AI techniques for workflow optimization to accelerate analytics self-service for product managers- Leadership Reporting & Data Narrative: Developed and automated robust data pipelines to generatecomprehensive periodic reports with compelling data visualizations, communicating a cohesive performance narrative to senior leadership and cross-functional partners across the Alexa and Fire TV organizations. Built strong relationships with Engineering, Product, and Marketing teams to identify data-driven opportunities and defined new metrics to improve user engagement- Monetization: Served as analytics lead for growth awareness and monetization workstream. Conductedstatistical analysis, designed and analyzed A/B testing experiments, and presented actionable insights and KPIs during monthly leadership business reviews
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