Network traffic classification has grown tremendously in the past few decades primarily due to affordable data storage and explosively growing computing prowess bringing machine learning to the forefront in handling optimization and capacity control. In this project, we aim to classify network traffic into different categories of mobile apps to analyze customer usage and optimize network traffic. Through iterative cycles of development, we have generated network traffic, analyzed, engineered and modeled it to obtain a final product that our client can scale and implement on real-world traffic.