I am an Applied Economist working in the tech and retail space, exploring the intersection of data science and customer behavior.
Specializing in structural modeling and causal inference, I build robust empirical tools to solve real-world challenges. Currently, my work centers on developing marketing measurement solutions, such as Media Mix Models (MMM) and Multi-Touch Attribution (MTA), and designing rigorous experiments that empower data-driven business decisions.
Recent Posts
Process Missing Data in Python
Python
Missing Data
Compare An Unknown with A Known Distribution
Probability
Extreme Value Distribution and Logit Regression
Probability
Sample Size: Testing or Survey
A/B Testing
Hypothesis Testing
Sample Size
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