Yi-Sheng Lin
Business Intelligence Engineer @ Chewy | 5+ years experience in product analytics delivering actionable insights via A/B Test | MS in Business Analytics @ UW | Experienced and Expert in AWS & Azure, Tableau, SQL, Python
- Role
- Business Intelligence Engineer - Discovery Analytics at Chewy
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Yi-Sheng Lin
Business Intelligence Engineer | AWS | SQL | Python | Data-Driven Product GrowthHi, I’m Sean Lin, a Business Intelligence Engineer at Amazon Web Services (AWS) with a strong background in analytics, experimentation, and data product strategy. I specialize in transforming large-scale data into actionable insights that drive user engagement, cost savings, and feature innovation. At AWS, I led high-impact analytics across 87M+ user journeys and 34M+ usage records to shape product adoption strategies and support feature launches. I delivered 17% QoQ adoption growth, unlocked $600K+ in revenue, and automated cost optimization insights across 60K+ transition records. Previously at Amazon.com, I owned dashboards and automated pipelines for 200M+ customer feedback records and 50M+ audit events, improving operational efficiency and customer experience across global marketplaces. At Trend Micro, I developed global sales dashboards, built a customer health scoring system that improved satisfaction by 18%, and migrated weekly pipelines to real-time systems using Azure and Tableau CRM. I’m passionate about combining deep data analysis with scalable engineering solutions to enable better business decisions. My expertise spans SQL, Python (Pandas, PySpark, scikit-learn), AWS (Redshift, Glue, S3, QuickSight), and Tableau. Specialties:∙ User journey analysis & product metrics design∙ Feature launch support & growth strategy∙ A/B testing, classification models, and funnel analysis∙ End-to-end ETL pipeline automation∙ Scalable dashboard & reporting systems∙ Cross-functional storytelling across tech and business teams Open to connecting with data leaders, engineers, and product professionals! Reach me at y••••••••@gmail.com
Experience
Business Intelligence Engineer - Discovery Analytics
Jun 2025 — Present · Bellevue, WA, US
Enabled the launch of Chewy’s new search ranking model and improved audience targeting by analyzing 1M+ A/B test data and building telemetry pipelines, revealing a –16bps drop in Exit Rate and a +27% rise in editorial CTR Developed Deep-Dive Streamlit App via Python and SQL—unifying core search metrics and supporting experiment deep dives across 80%+ of search terms, forming the analytical foundation for Chewy’s LLM-powered chatbot Designed and implemented end-to-end ETL workflows using SQL and Apache Airflow, including pipelines to ingest data from Segment Analytics tool, streamlining Chewy search data availability for analytics and reporting
Education
University of Washington
Master of Science - MS, Business Analytics
National Tsing Hua University
Master of Business Administration (MBA), Majored in Business Analytics & Data Science, minored in Innovation & Entrepreneurship
2019 — 2021
Tamkang University
Bachelor of Business Administration (B.B.A.), Majored in Information Management
2014 — 2018
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