Portfolio

Growth & Marketing Analytics

Analytics professional with 7+ years of experience in growth measurement, experimentation, and causal inference. Specializing in marketing effectiveness, unit economics, and data-driven budget optimization. Expert in SQL, Python, and Tableau. Adept at translating complex data into actionable insights for stakeholders.

AI-Augmented Analysis

A complete marketing measurement system: where to spend (MMM) → how to validate (Experimentation) → what it's worth (Unit Economics) → what's actually working (Attribution & Incrementality).

Marketing Mix Model dashboard preview
Marketing Mix Model — ShopNova
End-to-end MMM analyzing $2.4M marketing spend across 5 channels. Built budget optimization simulator with diminishing returns modeling, delivering actionable reallocation recommendations.
Python Bayesian Regression Adstock Budget Optimization
Live
Experimentation Playbook dashboard preview
Experimentation Playbook — LinguaLeap
6 A/B tests, 2 ships: a full-cycle experimentation program with decision-quality framework, Bayesian & frequentist analysis, power sizing, and executive-ready reporting. Includes real Cookie Cats dataset deep dive.
A/B Testing Bayesian Analysis Decision Framework Executive Reporting
Live
LTV/CAC Modeling dashboard preview
LTV / CAC Modeling — Orbit
Customer unit economics for a B2B SaaS platform: cohort retention analysis, LTV prediction by segment, CAC efficiency by channel, and data-driven budget reallocation recommendations.
LTV Prediction CAC Analysis Cohort Retention Unit Economics
Live
Attribution & Incrementality dashboard preview
Attribution & Incrementality — NexaShop
Multi-touch attribution (Markov Chain, Shapley Value) and causal incrementality testing (DiD, Synthetic Control) for a D2C e-commerce brand's $5M marketing budget. Answers: which channels truly create value?
Markov Chain Shapley Value DiD Synthetic Control
Live