Ashish
Data & Analytics Leader | Data Science · Analytics Engineering · AI | Ex-Amazon
- Role
- Data Science & Analytics Engineering at Yelp
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Ashish
I work at the intersection of data science, analytics engineering, and bridging data with business decision-making. I bring a combination of hands-on depth and leadership experience, with a focus on building analytics capabilities that scale and bring clarity to complex problems. What have I worked on?I have led and scaled analytics teams at companies like Amazon and Yelp, partnering with Product, Finance, and Marketing to define KPIs, build semantic data layers, and enable decision-making across the organization. My experience also includes leading product analytics initiatives, helping teams understand user behavior, define success metrics, and inform product direction. How do I approach problems?I focus on bringing structure to ambiguity. I prioritize clarity in metrics, simplicity in design, and solutions that are practical and scalable. My goal is to ensure data is not just available, but trusted and actively used in decision-making. What areas interest me most?I am particularly interested in areas where data shapes business and product direction. This includes building strong data foundations, improving decision velocity, and integrating AI into analytics workflows. What matters to me?I value clarity, ownership, and simplicity. I focus on building strong teams and enabling people to do meaningful work. I generally avoid getting pulled into internal politics and prefer to focus on solving real problems and driving outcomes, while recognizing that some level of organizational dynamics is part of any role. What’s next?I am open to senior individual contributor roles or leadership opportunities aligned with my background in data and analytics. I am especially interested in roles that combine analytics with AI to improve decision-making and modernize data workflows. Feel free to reach out if there is a fit.
Experience
Data Science & Analytics Engineering
Jan 2024 — Present
Focus Area: Product Data Science, Business Intelligence, Analytics Engineering, Team Management, Generative Al, LLMs and Agentic Al
Education
Florida Atlantic University
Master of Science (MS)
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