About
Venkata Sai Varun Munagavalasa is a Product Manager with 3+ years of experience driving product growth, user engagement, and business performance through data-driven product decisions. He specializes in product analytics, KPI frameworks, A/B testing, SaaS product strategy, roadmap planning, user behavior analysis, funnel optimization, retention analysis, and cross-functional collaboration.
12+
Features shipped
35%
Adoption lift
20%
Conversion uplift
40%
Reporting saved
Education
University of Houston, USA
Experience
USA · Aug 2025 — Present
India · Jul 2021 — Nov 2023
Skills
The mix of craft, analytics, and process I bring to product teams.
Services
Vision, positioning, and roadmap that aligns product with business outcomes.
Quarterly themes, prioritized backlogs, and stakeholder-ready plans.
North-star and input metrics tied to growth, engagement, and revenue.
Tableau, Power BI, and GA dashboards leadership actually uses.
Hypothesis-driven experiments with clean readouts and decisions.
Interviews, surveys, and behavioral data turned into product insights.
RICE, value-vs-effort, and opportunity sizing for focused execution.
Landscape, positioning, and gap analysis to find where to play.
Projects
Managed end-to-end lifecycle of AI-powered SaaS products including roadmap planning, feature prioritization, GTM strategy, customer discovery, and product performance measurement.
Designed dashboards and KPI scorecards in Tableau, Power BI, and Google Analytics to track customer journeys, retention, engagement, conversion, and business health.
Designed and executed A/B tests and feature experiments that improved user conversion rates by 20% and lifted engagement across key workflows.
Used SQL, Python, cohort analysis, segmentation, and predictive modeling to identify churn risks and uncover revenue optimization opportunities.
Built automated analytics workflows that reduced manual reporting effort by 40% and accelerated insight delivery for leadership.
Contact
Open to Product Manager roles, collaborations, and conversations about data-driven product work.