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Engineer and technical writer working across data products, recommendation, ads, experimentation, causal measurement, and applied AI workflows.
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A/B Testing (2) Challenges in A/B Testing A/B Testing (2) Challenges in A/B Testing
A deeper look at difficult A/B testing cases such as interference, long-term effects, triggering, surrogate metrics, and cluster design.
2024-06-20 Data Science
A/B Testing
A/B Testing (1) A/B Testing from 0 to 1 A/B Testing (1) A/B Testing from 0 to 1
A practical introduction to A/B testing, experiment design, guardrails, and how product teams should interpret evidence.
2024-05-18 Data Science
A/B Testing
Causal Inference (1) What is Causal Inference Causal Inference (1) What is Causal Inference
An introduction to causal inference, including confounding, selection bias, counterfactual thinking, and the role of randomized experiments.
2024-01-18 Data Science
Causal Inference