Dipti Pai

About Dipti Pai

I\'ve spent 12+ years turning data into decisions that actually matter — for businesses, for governments, and for real people navigating real situations.That\'s looked like a lot of different things. COVID response work that gave governors across MA, MI, and NYC the clarity they needed to make real-time decisions during a crisis. A public platform that finally gave families transparent access to nursing home quality data. A portal that helped San Francisco better reach its most vulnerable residents. Retail insights that uncovered why customers were returning products — not the surface reason, but the root one. A multi-million dollar opportunity that was hiding in plain sight. And lately, building AI agents that change how insights get delivered altogether.At McKinsey, I co-founded the Data Visualization Lab — built the team, set the standards, and ran masterclasses on data storytelling and design for hundreds of colleagues and clients across the firm. I\'ve always believed that insight without good design is just noise — so I bring both: the analytical rigor to find what matters and the design sensibility to make it land. At Returnalyze, I lead insights strategy for major retail brands, shape product direction, influence roadmap, and am actively building LLM-powered agents to reimagine how insights get delivered. Before that, I helped scale a healthcare analytics practice that ended up serving 100+ health systems across the US.I\'m most at home in roles where I\'m building something — a platform, a new way of delivering insight, a team, a practice — and where the work has real stakes for real people. I\'ve led teams, advised C-suites and government officials, and shaped strategy at the highest levels. What drives all of it is the same: the person on the other side of the data. The expecting mother choosing a hospital. The nurse figuring out where to grow. The neighbor whose dog came home because someone paid attention. That\'s what good analytical work is for.Outside of work, I volunteer on Sunday mornings at a local transitional living center — prep, cooking, serving breakfast. I paint, hike, woodwork, garden, and cook. I care about animal welfare, health equity, and the environment. I drink masala tea — not chai tea, there\'s a difference — and I spend as much time as possible with my family and my dog, Tater Tot. If you\'re working on something where insight, strategy, and genuine care for people need to come together — I\'d love to connect.

Experience

1. Strategic Insights & Analytics

   Returnalyze®

   Nov 2024 — Present

   Strategy | Insights | Analytics | SaaS Product | Customer SuccessDecoding complex return patterns and translating them into visual stories and strategic recommendations that help retail brands reduce returns and improve profitability — combining analytics, design thinking, and usability to deliver insights teams can actually act on.• Lead product design direction for the platform — drive UI/UX decisions grounded in end-user behavior, define requirements, and translate product direction into actionable development specs• Defined the insight delivery function — established how insights are scoped, structured, visualized, and presented within the product; created onboarding frameworks and contributed directly to the V2 product roadmap alongside engineering and design• Lead and manage client engagements — building trust with senior stakeholders, translating complex findings into clear narratives, and ensuring insights drive action not just awareness• Re-designed Product Detail Pages (PDPs) to enhance accessibility and usability — improving the customer shopping experience and reducing return-driving friction points• Identified a multi-million dollar exchange opportunity for a major retail client by combining behavioral analysis with customer intent signals — findings directly shaped their product roadmap• Uncovered the root cause of elevated return rates for a D2C brand — translated measurement insights into concrete sizing guidance and PDP redesign that drove a 22% reduction• Identified a systemic fit issue across a children\'s apparel line that aggregate data had masked — root cause research drove design-level changes across the entire category• Building LLM-powered agents using the Claude API to automate and personalize insight delivery at scale

Education

• MSBTE

  Diploma, Computer Engineering

  2006 — 2008

• Northeastern University

  Master's degree, Information Systems

  2012 — 2014

• Mumbai University Mumbai

  Bachelor's degree, Computer Engineering

  2008 — 2011

Skills

• Etl
• Microsoft Office
• Informatica
• Weka
• Project Management
• Databases
• Ms Excel Pivot Tables
• Microstrategy
• Uml
• Ab Initio
• Database Administration
• Microsoft Excel
• Data Analysis
• Business Intelligence
• Access
• Sql
• Visio
• Ssrs
• Qlikview
• Business Analysis
• Tableau
• Rational Rose 2000
• Ssas
• Data Warehousing
• Mysql
• Pl/Sql
• R
• Ssis
• Microsoft Sql Server
• Agile Methodologies
• Analytics
• Oracle
• Analytical Skills
• Unix