At Stanford, I completed a number of projects for Machine Learning and Artificial Intelligence. In addition, I have applied a number of optimization, classification, data analytics, and NN techniques to my work in industry.
Projects include:
- A Gambling Agent – optimizing actions to take in the popular casino game Blackjack utilizing a POMDP method for decision making under uncertainty. View the code.
- Billboard Predictor – utilizing past leaderboard data to accurately predict whether a song will make it to the music Top 100 charts. View the code.
- Consumer Trends – analyzing consumer data to optimize resources and determine what features will perform best with new products and content.
- Customer acquisition and churn analytics based on clustering, behavioral features, and correlation analysis.
- More ML projects and work on my GitHub.
