Claude
Cursor
Gemini
Turning ecosystems into growth and models into decisions
I lead data science for Services Product Growth and Ecosystem Monetization at Intuit — Lending, Credit Card, BillPay, and the agentic AI capabilities now compressing insight cycles from weeks to hours. Before that I launched SMB MediaLabs, Intuit's first-of-its-kind B2SMB media network. 15 years of zero-to-one data products across Intuit, Teladoc, Adobe, and Expedia. AI100. Advisor at Texas A&M.
class AppliedAILeader:
def __init__(self):
self.name = "Sagar Ganapaneni"
self.role = "DS Leader, Growth"
self.company = "Intuit"
self.focus = [
"Agentic AI",
"Product Growth",
"Ecosystem Monetization"
]
def ship(self, signal):
# 15 years of applied impact
return outcomesLaunch leader for Intuit SMB MediaLabs. Built the audience and measurement stack — now live on The Trade Desk — giving advertisers Intuit's first-party SMB segments at scale.
Led the data science behind the QuickBooks Small Business Index — a monthly, externally cited signal on U.S., Canada, and U.K. small-business employment and revenue.
Hands-on series showing how stop sequences, token budgets, and parsers can swing LLM benchmark scores by 50–70 points — the model didn't change, the harness did.
The most popular advice has been to pick a domain and go deep. I’ve spent fifteen years without one. Depth wins by default — until agentic systems change the economics of context.
Read on Medium →If AI makes us 5× faster at work that should never have required us, we optimized the wrong thing. When to be the player, the coach, and the architect.
Read on Medium →You use multiple AI tools. Each one knows a piece of you. None of them knows the whole picture. That is why I built MemOS — a portable, local-first memory layer.
Read on Medium →Medium, DZone, Analytics Vidhya, Forbes, Reforge, AI4, AIM, IAB, MMA, and LinkedIn.
Data-science-led growth across Lending, Credit Card, and BillPay. Incubating commercial models, partner programs, and first-party data products that create new revenue streams.
Cross-Intuit agentic capabilities that change how analysis is delivered — compressing insight cycles from weeks to hours and embedding AI into how teams operate.
Privacy-first measurement engines, MMM, incrementality, and synthetic-data methods. Personalization and audience systems that still work when observability is incomplete.
Intuit
Lead DS-led growth across Lending, Credit Card, and BillPay. Drive agentic AI capabilities that compress insight cycles from weeks to hours. Shape Intuit's data-egress and partner-monetization strategy.
Intuit
Launch leader for SMB MediaLabs — a first-of-its-kind commerce audience product. Built a 10+ person DS, DE, and research team. Scaled the product onto The Trade Desk. Led DS for the QuickBooks Small Business Index and Intuit's first 3P App Partner Program.
Teladoc Health · Livongo
Led 10+ data scientists supporting growth marketing, FP&A, product, and CX. Stood up ML-based journeys, MTA/MMM, and spend recommendations. Earlier at Livongo, built forecasting, clinical-risk, and unit-economics models through hyper-growth.
Adobe · Expedia · Cypress Semiconductor
Full-stack data scientist on Adobe Advertising Cloud. Ran a $5M display retargeting program at Expedia. Architected predictive and prescriptive systems for sales, marketing, operations, and pricing at Cypress.
Open to interesting conversations
I lead data science for Services Product Growth and Ecosystem Monetization — Lending, Credit Card, BillPay — and the agentic AI capabilities that are changing how analysis is delivered across Intuit.
A small open-source, local-first memory layer I built so context can travel across Claude, Cursor, Gemini, and any MCP-compatible client. The write-up is on Medium; the code is on GitHub.
Yes — I speak on growth systems, measurement under privacy constraints, and agentic AI. I advise Texas A&M's MS Analytics program, mentor through KaggleX, and judge industry awards including the Stevies and MMA Smarties.
As a decision system, not a tool. Attribution, experiments, MMM, clean rooms, and synthetic data only work together. The goal is decision-grade insight when observability is incomplete — not recreating last decade's tracking precision.
Teladoc Health and Livongo (growth, measurement, clinical risk), Adobe Advertising Cloud, Expedia partner and brand marketing, and Cypress Semiconductor. Earlier education: UIC (MS), BITS Pilani, Stanford data mining, Harvard EMSEL.
LinkedIn is best, or the contact form on this site. I'm open to speaking, advisory conversations, and collaborations on applied AI, growth, and measurement.