Anthony Stanco, Eit
About Anthony Stanco, Eit
Anthony Stanco is a Project Engineer at QuEST Global with extensive experience in mechanical and structural engineering roles across various organizations.
Current Position at QuEST Global
Anthony Stanco is currently working as a Project Engineer at QuEST Global. His responsibilities likely include overseeing and managing engineering projects, ensuring tasks are completed on time and to specifications, and collaborating with various teams to meet project objectives. His experience and expertise in structural analysis, engine performance, and project management contribute significantly to his role.
Previous Experience at Seeking New Opportunity
Anthony Stanco served as a Senior Mechanical Engineer at Seeking New Opportunity from 2019 to 2021. Based in Glen Cove, New York, he was responsible for advanced mechanical engineering duties. During his tenure, he applied his extensive knowledge in mechanical engineering, making significant contributions to the company's projects.
Role at MTU Aero Engines North America
Before joining Seeking New Opportunity, Anthony Stanco worked as a Structural Analytics Engineer at MTU Aero Engines North America from 2018 to 2019. Located in Rocky Hill, CT, he specialized in structural analysis which likely involved evaluating the integrity and performance of various engine components. His work ensured the reliability and efficiency of aerospace engines.
Educational Background in Mechanical Engineering
Anthony Stanco holds a Master of Science and Bachelor of Science in Mechanical Engineering from Thomas J. Watson College of Engineering and Applied Science, Binghamton University. He completed his Master’s degree between 2009 and 2011 and his Bachelor’s degree between 2005 and 2009. His academic background provided a strong foundation for his career in mechanical and aerospace engineering.
Notable Projects and Contributions
Anthony Stanco has led and contributed to several critical projects throughout his career. He developed gas turbine engine performance analysis techniques that improved efficiency by 15%, led a team in engine vibration testing to resolve critical vibration issues, and authored a published technical paper on LCF/CGR fracture mechanics analysis. He also automated data analytics processes using Python, reducing analysis time by 20%, which showcases his ability to improve efficiency through innovation.