Andrew is a data scientist who has consulted for the biggest names in social media marketing, including Logan Paul and Perez Hilton.

In 2016, Andrew used social media data to correctly predict the winner of the US Presidential Election. His prediction has since been published by Routledge Press, presented at the New York Times, and incorporated into a course at the NYU Stern School of Business.

An accomplished musician, Andrew began playing the guitar at age eleven and has released over ten albums, both as collaborations and as solo material. His productions have been featured in Rolling Stone, aired by nationally syndicated radio stations such as Sirius XM Chill and KEXP, and licensed in advertising for companies like Urban Outfitters.

Andrew earned his MBA from the NYU Stern School of Business and his Bachelors of Arts in Psychology, Phi Beta Kappa, from the University of North Carolina at Chapel Hill. Between studies, Andrew contributed to research at the Harvard Psychophysiology Lab focusing on the science of emotion and persuasion.

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Can Twitter Predict the Outcome of the US Presidential Election?

Investing with Python

 Getting Started

Query Stock Data, Calculate 30 Day Moving Average

Plot 30 Day Moving Average

MACD (Moving Average Convergence/Divergence)

Update: MACD (Moving Average Convergence/Divergence)

MACD Signal Line and Centerline Crossovers

Bollinger Bands

Price Channels


Quantopian: RSI Strategy Backtest



Mass Index

Stochastic Oscillator

Future Returns

Github Now Available

Music News 360