• Performed data analysis on factory operations to determine areas where improvement was needed • Discovered inefficient methods for storing necessary machine parts and implemented new strategies to clear space and allow efficient use of factory floor • Utilized pivot tables, vlookups, and other Microsoft excel tools to analyze over 5,000 inventory items • Identified and removed over 2,500 inventory items that no longer served a purpose

• Utilized natural language processing and machine learning to develop a python program that allowed United to determine how to prioritize the urgency of an incoming social media message • Gathered, analyzed, and processed 100,000 tweets to account for things such as internet slang, emojis, and sentiment producing higher quality training data for our end model • Increased effectiveness and accuracy of prioritization

• Developed 3 software tools, using C#, SQL, and Oracle database, allowing users to distinguish which product families should run together on assembly lines based on part compatibility • Created over 600 product families of assemblies that could run consecutively with minimum down time • Prepared and led meetings with management to discuss project goals while effectively communicating setbacks, possible future growth, and troubleshoot problems • Collaborated with production manager and on floor Industrial Engineers to gain understanding into how plant operations run efficiently and to develop understanding of lean practices