Avinita Shetty

About Avinita Shetty

Most analytics teams are built to report on the past. I’m interested in building systems that shape what happens next.Over the past 10+ years, I’ve worked at the intersection of AI, analytics, and product strategy, most recently at Microsoft, where I lead analytics and AI enablement for e-commerce and marketing experiences used by millions of customers globally.My focus is on agentic systems and decision frameworks that help product and marketing teams move from insight to action, faster. That means less manual reporting, more automated decisioning, and analytics infrastructure that scales with the business, not against it.Some of what I’ve driven: ∙ AI-enabled decisioning across the e-commerce funnel, improving visibility into acquisition, conversion, and retention ∙ Analytics and instrumentation strategies supporting multi-billion-dollar revenue streams ∙ Self-serve and automated analytics platforms that shifted teams from reactive to proactive ∙ Experimentation and metrics frameworks adopted across multiple product teamsI operate best in ambiguous, high-stakes environments where the problem isn’t yet well-defined and where the work requires aligning engineering, product, marketing, and data teams around a shared view of tradeoffs and outcomes.If you’re building something at the intersection of AI, data, and product or looking for an analytics leader who thinks in systems and speaks in outcomes — I’d love to connect.

Experience

1. Agentic E-commerce Experiences Analytics & Ai Enablement

   Microsoft

   Jun 2025 — Present

   Lead analytics strategy for e-commerce and marketing experiences, supporting customer acquisition, conversion, and retention initiatives•Drive development of agentic AI experiences that surface insights, automate workflows, and improve decision-making across the customer journey•Partner with Product and Engineering to define data requirements, instrumentation, and success metrics for new experiences•Build and scale reporting, experimentation, and funnel frameworks to enable product-led and marketing-led teams•Act as a bridge between business needs and technical execution, ensuring analytics solutions are actionable and scalable•Influence marketing investment decisions by identifying tradeoffs between reporting, platform scalability, and automation•Mentor and guide analysts and partners, raising the bar on product thinking, storytelling, and impact measurementImpact Areas:Analytics and AI frameworks supporting experiences that touch millions of users monthly•Enabled teams to reduce ad-hoc analysis cycles by 40% through automation and self-serve tooling•Drove alignment across multiple orgs (Product, Marketing, Data, Engineering) on shared metrics and outcomes•Contributed to improved funnel performance and lifecycle insights across high-visibility, executive-level initiatives

Education

• Northeastern University

  Master's degree, Computer and Information Systems Security/Information Assurance

• Northeastern University

  Master of Science, Information Systems

  2014 — 2016

• Xavier Institute of Engineering, The University of Mumbai

  Bachelors of Engineering, Information Technology

  2010 — 2014

Skills

• Css
• Requirements Analysis
• Sql
• User Interface Design
• Qlikview
• Tableau
• Talend Open Studio
• C
• Powerbi
• Java
• Software Development Life Cycle (Sdlc)
• Servlets
• C++
• Business Analysis
• Python
• Javaserver Pages (Jsp)
• Javascript
• Ssis
• Gooddata
• Uml Tools
• Ssrs
• Business Intelligence
• Windows
• Datastructure and Algorithms
• Netbeans
• Eclipse
• Html
• Powerpivot
• Php
• Cascading Style Sheets (Css)
• Mysql
• Databases
• Object Oriented Modeling
• Talend
• Microsoft Excel
• Object Oriented Design
• Microsoft Office
• Jquery
• Agile Methodologies
• Qliksense