Why are Randomized Experiments the Gold Standard in Causal Inference?

Understanding the identifying assumptions in experiments.

What is the Value of Improving the Customer Experience in E-Commerce?

Improve customer experience and increase engagement at your online store by simplifying checkout.

Identification - The Key to Credible Causal Inference

Improve your causal IQ and build trust in your causal inference by mastering identification.

Variance Reduction in Experiments, Part 2 - Covariance Adjustment Methods

Deep dive into MLRATE - machine learning regression-adjusted treatment effect estimator and comparing it to other methods.

Variance Reduction in Experiments, Part 1 - Intuition

The intuition behind variance reduction and why it is important in randomized experiments.

Fewer Clicks, More Purchases

We study how introducing a one-step checkout algorithm impacts consumer behavior and the economic value it generates for retailers in e-commerce.

An Intuitive Explanation for Inverse Propensity Weighting in Causal Inference

Understanding the roots of Inverse Propensity Weighting through a simple example.

Product for Evaluating Decision Rules

In this project, I leveraged ideas from economics and reinforcement learning to build a product that enables evaluating decision rules offline, fast, scalable and reliable manner.

Optimizing Profitability through Technology

In this project, I designed and implemented the first causal measurement within Amazon`s Automated Profitability Team and generated actionable insights for the retail business.

The Impact of Online Product Sampling on Customer Behavior

In this study we show how online product sampling as a marketing strategy impacts consumer behavior and quantify the economic value it generates for retailers in e-commerce.