Aman Vaishnav

I’m a data-driven Product Analyst II with 3+ years of experience designing analytics infrastructure and monetization strategy—spanning enterprise dashboarding and event instrumentation to marketing pipelines and experimentation. I focus on turning messy data into reliable insights that directly improve revenue growth, efficiency, and data-informed product decisions.

At Gameberry Labs, I’ve led end-to-end A/B testing for gameplay features and user flows, using experiment results to optimize player engagement and in-game purchase behavior across multiple releases. I also built scheduled Looker dashboards backed by BigQuery transformations, designed a scalable event tracking taxonomy from scratch, and rolled out Mixpanel across 8+ stakeholder teams—reducing manual query dependency by 80% and turning multi-day data waits into real-time insights.

I’ve delivered measurable business impact through data-led systems like a cohort-driven Dynamic Sale System (+3% revenue, +2% payer reactivation) and a full-funnel marketing analytics pipeline integrating Adjust/Singular with BigQuery for ROAS, LTV prediction, and breakeven modeling. I’m especially motivated by work that blends product thinking with rigorous analytics—so teams can ship faster, learn better, and monetize smarter.