(2 years 4 months) • Promoted Boston Beer Company products including Twisted Tea, Truly, and Sun Cruiser • Successfully fulfilled ~25 activations per semester. • Responsible for managing all inventory items and $150 per night bar allowance. • Actively manage two support brand ambassadors per semester. • Ensure set-up, tear-down, and execution of all on-site bar activations. • Promoted strong business relation between BBC and bar management including Leo's on the Alley, Out-R-Inn, Library Bar, etc.

• Developed and maintained strong relationships with key internal stakeholders critical to success. • Successfully identified 3,300+ annual bid quoting opportunities. • Created 400+ Salesforce accounts and 400+ unique classifications for approvals. • Established FAA grant identification process for project identification and targeting. • Identified 40+ airports receiving 225+ million in grants to identify and leverage sales team coverage. • Provided corporate evaluations to provide direction to the sales team through geographic and market segment prioritization. • Demonstrated strong problem-solving and analytical skills with Excel and Salesforce utilization.

• Analyzed engineering blueprints and marked up using Bluebeam. • Executed 100+ material takeoffs. • Provided informed product suggestions, proper fittings, and alternates where applicable. • Coordinated with inside project managers and sales team to determine proper materials and supplies. • Operated Salesforce to obtain, update, and manage material takeoff. • Utilized Excel worksheets to provide accurate ADS products, quantities, and details. • Developed strong understanding of ADS pipe, Stormtech, Nyloplast, and Inserta Tee technologies. • Researched and developed ADS intern program suggestions for future execution.

• Researched autonomous manufacturing with applications in austere environments. • Deployed Linux/ROS/Gazebo within Google Cloud Platform using a Virtual Machine. • Established a Linux platform for the utilization of Robot Operating System (ROS) and Gazebo. • Simulated UR5 robot arm with a gripper end attachment that is fully functional. • Implemented and utilized simulated cameras within Gazebo using ROS integration. • Performed research on utilization of Python within ROS. • Explored the use and application of Machine Learning within robotics. • Worked within a multidisciplinary team consisting of varying experience- levels.