Predictive Model and Web App

How to Persuade Like TED

A natural language processing project to reveal linguistic and psychological features that predict a persuasive TED Talk. I webscraped every TED Talk transcript and it’s metadata through 2017 and then used decision trees, random forest regressors, and linear regression to find key predictors of persuasive ratings by viewers.

I found that the change in negative and positive emotion words across the talk and the speaker’s use of key social pronouns like “I” and “we” made a big impact on persuasive ratings.

My analyses resulted in important categories of words that make up a “linguistic signature” of persuasion and a classifier that you can use to predict the persuasiveness of your own text.

For professionals who need to communicate and influence others – is a data product that uses natural language processing techniques and statistical modeling to provide insights on how to speak to persuade.

Persuasive Dashboard

Movie Recommender Web App

The Greatest Films of All Time


The greatest films of all time- a list compiled from multiple sources -analysis reveals which films are the best of the best (and the best for you).

Dashboard Interface with List

Travel Web App

Travel app analyzes flight quotes to 42 global destinations to identify the best time to fly. A thesis project at MakerSquare that has already attracted paying customers. Our intelligent flight quote analyzer watches routes and fares to cities around the world to show you when prices are lowest in the next 12 months.

Productivity Mobile Web App


Productivity app to improve focus and encourage deliberate practice of multiple skills

Search App

Off The Grid

Search app to locate nearby campgrounds and identify available amenities