A framework for product analytics with an iterative process to convert data into insights that drive product strategy.
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Updated
Feb 8, 2026
A framework for product analytics with an iterative process to convert data into insights that drive product strategy.
Product Data Scientist & Data Analyst specializing in experimentation, product analytics, causal inference, churn modeling, and ML-powered decision systems.
A production-ready A/B testing framework combining frequentist and Bayesian methods with automated go/no-go recommendations for product experimentation.
Product analytics dashboard that analyzes the full customer lifecycle — from discovery and conversion to retention and churn prediction — integrating customer analytics, unit economics, growth metrics, and predictive insights using Python, Streamlit, and Plotly.
Product Data Science project demonstrating causal inference, experimentation analysis, and decision-driven analytics for product and growth teams.
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