Navneet Chauhan

Senior Analytics Engineer

Navneet Chauhan

Agentic analytics infrastructure for humans and AI. Building self-serve, AI-readable data platforms at Credit Karma, and shipping thoughtful projects on the side.

Navneet Chauhan professional headshot

About

Full-stack analytics for an agentic future

I operate across the full analytics lifecycle, from raw event ingestion and pipeline orchestration to business logic, BI, incident response, and stakeholder communication.

Most analytics teams split pipelines, dashboards, and queries across silos. I connect them. At Credit Karma (Intuit), I work as connective tissue between Engineering, Data Science, Product, and Business: diagnosing cross-system failures, quantifying impact quickly, and building data contracts and observability that make analytics dependable enough for AI agents. The next generation of analytics engineering is not just better SQL. It is systems that are legible, trustworthy, and composable for both humans and machines.

Data Infrastructure

  • SQL
  • DAGs / Airflow
  • Observability
  • Data lineage
  • dbt
  • Large-scale optimization

Experimentation & Analytics

  • A/B testing
  • Incrementality
  • Attribution modeling
  • Core metrics design

Visualization

  • Looker
  • Tableau
  • Streamlit
  • Custom Python dashboards

AI & Tooling

  • RAG
  • LangGraph
  • Cursor
  • Claude Code
  • Agentic workflows

Experience

Roles that shaped how I build data systems

Jan 2021 – Present

Intuit Credit Karma

Senior Analytics Engineer

San Francisco Bay Area

Analytics AI Transformation: internal data products serving 140M+ members across notifications, stories, and offers.

  • Architected near real-time observability systems from scratch (0→1) for large-scale recommendation pipelines; automated anomaly diagnosis that saved $1M/month and reduced deployment friction.
  • Building a scalable in-house semantic layer for structured context and retrieval, turning the warehouse into an AI-readable source of truth for autonomous querying.
  • Designed an orchestration marketplace for agentic PlugIn workflows, automating triage and deployment of complex DAG models and halving the Data Science deployment cycle.
  • Implemented a RAG + LangGraph framework integrated with the experimentation platform so non-technical teams can interpret A/B results and get ship/no-ship recommendations via an AI agent.
  • Architected an OpenClaw-inspired framework for self-healing data quality sub-agents that detect, diagnose, and remediate pipeline failures before downstream impact.
  • Partnered with leadership to evaluate and deploy modern data stack tools (dbt, Coder), advancing foundational infrastructure for Data Science and Analytics.

Jun 2020 – Dec 2020

UplandMe

Growth Analytics Lead

San Francisco Bay Area

Property trading game on blockchain, focused on growth marketing and analytics.

  • Managed digital advertising budgets focused on end-of-funnel outcomes and measurable marketing spend.
  • Built a marketing data warehouse framework for end-to-end LTV/CAC models across Google Ads, Meta Ads, and influencer channels.
  • Oversaw end-to-end user tracking and insights measurement, foundational elements of a comprehensive marketing warehouse.

Sep 2019 – May 2020

Robert Half

Senior Analyst, Performance Marketing

San Francisco Bay Area

  • Led data QA testing and tagging solutions; automated manual validation processes across marketing data pipelines.
  • Partnered with paid marketing to build measurement frameworks and evaluate campaign success.
  • Collaborated with data engineering on measurement frameworks, user tracking, and insights delivery.

Jul 2013 – Sep 2017

Publicis Groupe

Digital Marketing | Performance Marketing

Mumbai, India

Roles across Publicis Groupe, Publicis Media, FoxyMoron, and Gozoop, presented here as a single Publicis-era chapter in performance marketing and analytics.

  • Analyzed advertising effectiveness for e-commerce clients across acquisition channels, managing ~$1M in media budget across client portfolios.
  • Managed acquisition campaigns and influenced budget allocation and channel strategy for leadership.
  • Implemented custom dashboards in Data Studio with precise, actionable analyses of user acquisition channels.
  • Led growth marketing and analytics initiatives spanning paid media strategy and measurement.

Education

Foundations

2017 – 2019

California State University – East Bay

Master of Science, Business Analytics

GPA 3.72/4.00 · President, Data Analytics Club · VP Project Management, AMA East Bay · Innovate East Bay · Startup Weekend

2008 – 2012

University of Mumbai

Bachelor of Engineering, Electronics & Communications

Contact

Let's connect

For opportunities, collaborations, or a thoughtful conversation about analytics infrastructure and GenAI, email is best.