Experimentation & Causal Inference Platform cover
All work

2023

Experimentation & Causal Inference Platform

A statistical engine that powers trustworthy A/B tests and untangles cause from correlation.

Overview

Designed the analysis layer for the company experimentation platform. Implemented variance-reduction (CUPED), sequential testing to allow safe early stopping, and heterogeneous treatment-effect estimation to find which segments actually respond. Wrote guardrail-metric checks that halt a rollout automatically, and paired randomised tests with quasi-experimental methods for launches that could not be cleanly randomised.

Role & impact

My role

Data scientist — causal inference and statistical methods.

Impact

Standardised 120+ experiments a quarter and caught three revenue-negative launches before full rollout.

Stack

PythonRstatsmodelsSQLBayesianNumPy