Implemented several different machine learning algorithms including lasso regression, linear regression, logistic regression, gradient boosted decision tree, and random forest models in order to determine which models would be the best at detecting ambiguous and mislabeled content

Flash-tested array modules and performed data analytics to determine optimum performing encapsulation stack for World Solar Car race. 

Designed & implemented Conversation Explorer tool (patent pending - 2018):

Conversation explorer is an exploratory data analysis and visualization tool that enables semi-supervised learning.

Investigated the effects of the repeating decimals' unique pattern length on the results of the chi-square and runs tests.