Investigating how data drives product decisions
Investigating how data drives product decisions
Every product change starts with a question. Should this feature launch? Which metric matters most? Why did engagement suddenly drop?
This site explores those questions using statistics, experimentation, product analytics, and public data. Rather than predicting stock prices or training models for their own sake, each investigation focuses on making better product decisions.
Reverse engineering product launches, feature decisions, and growth strategies through the lens of a Product Data Scientist.
Working with public datasets to uncover patterns, explain user behavior, and evaluate competing hypotheses.
Exploring experimentation, causal inference, SQL, forecasting, and machine learning through practical case studies.