Developed an end to end machine learning pipeline, which continuously collected data, automating data collection and preparation using Python and MongoDB, increasing the total amount of usable data by 43%

Worked on improving and creating 4 new NLP machine learning model architectures to improve accuracy for predicting flight attributes from 74% to 83% and hotel attributes from 78% to 89% using Python, Tensorflow, and Keras

Setup QA and Staging environments in AWS using EC2 to provide stable environments for testing and product demos, with automated deployment