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Matheus Rabetti

Experimentation . Data Science . AI @Coinbase

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About Me

“Generating numbers is easy. Generating numbers you should trust is hard.”

I turn ambiguous business questions into rigorous causal answers. With 10+ years at Coinbase, Uber, Glovo, Preply, and others, I specialize in experimentation, causal inference, and marketing measurement. Building the frameworks that let teams know what’s actually driving results.


💥 Impact at a Glance

Metric Result Context
📈 Campaign ROI 1.1x → 6x Causal targeting optimization @ Coinbase
⚡ Experiment velocity 4x faster Proxy metric framework for upper funnel
💰 Acquisition cost −23% Incrementality test strategy @ Glovo
🔁 Client retention +10% Hours utilization impact model @ Preply
🧠 Talent retention +5% Job matching redesign @ Toptal

🧠 Core Expertise

🚀 Programming & ML Stack

⚙️ Data & Infrastructure

🤖 AI & Dev Tools


💼 Experience

🏢 Company 🎯 Focus ✨ Highlight
Coinbase Growth & Experimentation ROI 1.1x → 6x · 4x faster experiments
SEO causal framework + proxy metric system
Preply Marketplace Science +3% incremental revenue
CATE-based price elasticity across marketplace segments
Vista Personalization 2022 Experimentation Team Award
Built company-wide A/B culture & standardization
Toptal Talent Operations +5% newcomer retention
Job matching redesign targeting end-of-contract churn
Glovo Marketing Science −23% acquisition cost
Incrementality tests + CUPED variance reduction
Uber Marketing Measurement LAtam geo-experimentation POC
Causal Impact, Synthetic Control, matched markets
Globo.com Product Analytics A/B platform from scratch
Churn prediction + player quality metrics
Ministry of Labor Economic Research Public policy dashboards
Time series forecasting of national labor market metrics
IPEA Applied Research UN social vulnerability panel
Spatial analysis across 12 Brazilian capitals

📄 Publications

Rabetti, M.S.; Nadalin, V.G.; Oliveira, C.A.P.; Furtado, B.A.; Cavalcanti, C.B. (2016). Population and Employment Dynamics in the Urban Centers of the Brazilian Metropolis. Instituto de Pesquisa Econômica Aplicada (IPEA).

Rabetti, M.S.; Sambuichi, R.H.R.; Galindo, E.P.; Pereira, R.M.; Constantino, M. (2016). Production Diversity in Family Agriculture Establishments in Brazil: an econometric analysis based on the Declaration of Aptitude to Pronaf (DAP). Instituto de Pesquisa Econômica Aplicada (IPEA).

Rabetti, M.S.; Carvalho, C.H.R. (2015). Traffic Accidents on Brazilian Federal Highways. Instituto de Pesquisa Econômica Aplicada (IPEA).