Qindi Z.

Driving Growth with Data (GenAI, Actionable Insights & Experimentation)

Role
Head of Analytics & Data Science - Small Business Insurance at Intuit
Location
Palo Alto, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Qindi Z.

With 15 years of experience, I am a seasoned product and data leader skilled in achieving product-market fit (PMF) and driving product-led growth (PLG) through actionable insights, experimentation, and data science. Currently, I lead product management and development efforts, focusing on building AI-powered products that utilize Generative AI and enable non-data users to make data-driven decisions on a daily basis. My expertise lies in product innovation and data modernization, leveraging AI to build intelligent products and empowering businesses with actionable insights.Scopes & Skillsets: High performing team development and leadership, Roadmapping, Rapid prototyping, Matrix organization stakeholder relationships, Cross-functional leadership, Single thread leadership, A/B testing, Product led growth Product Analytics, Business strategy, Customer support analytics, Sales & Marketing analytics, Conversion Optimization, Define and measure product & business KPI, UX research & optimization, Financial and Marketing Modeling (Consumer Insights, Behavioral Analysis, Segmentation, Customer lifetime value (LTV), ROI), Data mart development and operations, ML Modeling, App Store Optimization, Social Media, Monetization, Cross-platformIndustries: SMB, SaaS, Subscription model, Consumer, Mobile apps, E-commerce, FinTech, InsureTech, Voice AI, Personal Assistant,Tools: AWS, Databricks, Google Analytics, Adobe Analytics, Amplitude, Optimizely, Tableau, QlikSense, MongoDB

Experience

  1. Head of Analytics & Data Science - Small Business Insurance

    Intuit

    Jan 2020 — Present · San Francisco, CA, US

    Leading an amazing full-stack team of data scientists, analysts and engineers to drive QB insurance‘s growth through actionable data services (product, sales & marketing, insurance analytics) and scalable data products (ML models for segmentation and targeted marketing, personalization enablement & data mart).

Education

  • General Assembly

    Data Science

  • Shanghai University of Finance and Economics

    BA in Management, Financial Management

  • Kingston University

    Postgraduate Diploma, Marketing

  • Rutgers Business School

    Mini-MBA

  • NYU, School of Continuing and Professional Studies

    ML modeling

Skills

  • Budgets
  • Direct Marketing
  • Mobile Devices
  • Project Management
  • Strategy
  • E-Commerce
  • Consulting
  • Analytics
  • Business Strategy
  • Management
  • Product Management
  • Coaching
  • Crm
  • Product Marketing
  • Data Analysis
  • Segmentation
  • Customer Relationship Management (Crm)
  • Leadership
  • Strategic Planning
  • Marketing
  • Sql
  • User Experience
  • Marketing Strategy
  • Product Development
  • Analysis

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