A Data Scientist’s Guide To Measuring Product Success
A practical framework for defining and measuring product success. Published on Shopify's Data & Engineering Blog in March 2022. ( Read it! )
A practical framework for defining and measuring product success. Published on Shopify's Data & Engineering Blog in March 2022. ( Read it! )
An interactive book review summarization app, which rapidly extracts the most commonly expressed opinions across all of a book's reviews. ( Read more | Video walkthrough | Visualization video | GitHub )
An app for detecting bias in news media, designed to develop media literacy in today’s youth. ( Concept video | GitHub )
A statistical analysis and data visualization of pre-trial detention and bail bond practices in the U.S. ( View it! | Concept video | GitHub )
"Is Hilary still the most poisoned baby name in U.S. history?" In this blog post I present an update of Hilary Parker's classic 2013 statistical analysis "Hilary: the most poisoned baby name in US history". The answer: No, though the new most poisoned name is probably not what you expect. ( Read it! | GitHub | Baby Name Popularity Explorer app )
A simple word prediction app, using a N-gram prediction model & written in R. ( Try it out! | GitHub )
Generates a random name based on four adjustable variables: the person's year of birth, their place of birth, their birth sex, and the relative popularity of their name in their birth year. More popular names from that year are statistically more likely to be generated. ( Try it out! | Slide deck | GitHub )
Self-published guide on how to write papers in LaTeX, written specifically for philosophers and especially ancient philosophers. ( Read it! )