Bhavana Reddy Chadagonda

Data scientist with experience in Product Analytics, Experimentation

Role
Staff Data Scientist at Intuit
Location
San Francisco, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Bhavana Reddy Chadagonda

I\'m a data and product analytics professional driven by the challenge of turning complex problems into clear, actionable strategies. With a strong foundation in statistics, machine learning, and product thinking, I specialize in using data to shape product direction, enhance user experiences, and unlock growth opportunities.I’m particularly interested in growth strategy, experimental design, and quasi-experimentation frameworks that enable teams to move quickly, test effectively, and make confident decisions. I enjoy building measurement systems that scale, designing experiments that balance rigor with speed, and working cross-functionally to align data with business goals.What motivates me most is working at the intersection of data, product, and strategy—where collaboration and curiosity meet to drive meaningful impact.

Experience

  1. Staff Data Scientist

    Intuit

    Jan 2023 — Present · Mountain View, CA, US

    Web Product Team :Led the design, experimentation, and launch of a personalized AI-driven signup flow, significantly enhancing product value discovery and increasing user conversion. This initiative resulted in a 3% uplift in subscriptions, translating to a $15M annual revenue impact.Built a first-of-its-kind end-to-end dashboard to connect online and offline user journeys, enabling a unified view of performance across channels. This holistic approach uncovered optimization opportunities that were previously invisible, driving more informed product decisions.Analyzed the impact of a pricing increase on subscriptions and user behavior, and provided strategic recommendations for the following year’s pricing strategy.Paid Media Team :Enabled strategic decision-making for marketing leads by developing a data-driven process to proactively set performance goals for paid media channels. This framework has proven instrumental in consistently improving campaign effectiveness.Advanced experimentation capabilities by creating a comprehensive, year-long roadmap in collaboration with the Marketing Sciences and Paid Media teams. This initiative addressed critical capability gaps and aligned cross-functional efforts toward innovation and testing maturity.Introduced and implemented innovative testing methodologies, including redesigned remarketing campaigns and the adoption of sequential/Bayesian testing frameworks. These efforts led to a 6% increase in subscriptions and significantly reduced experimentation costs and timelines.

Education

  • Jawaharlal Nehru Technological University

    Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering

  • University of Connecticut School of Business

    Master's degree, Business Analytics and Project Management

Skills

  • Css
  • Sql
  • Visio
  • Sas
  • Tableau
  • C
  • Programming
  • Java
  • Analytics
  • Python
  • Javascript
  • Statistics
  • Predictive Analytics
  • R
  • Statistical Modelling
  • Microsoft Word
  • Html
  • Microsoft Office
  • Sas Programming
  • Times Series Analysis
  • Data Analysis
  • Matlab
  • Microsoft Excel
  • Jquery

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Bhavana Reddy Chadagonda — Staff Data Scientist at Intuit in San Francisco, CA, US | Unifers