Geovanny Tabango
About Geovanny Tabango
Geovanny Tabango is a Warehouse Associate at Amazon Logistics in Manchester, England, with a background in computer science and engineering. He has previously held positions in information technology and supervision, and he is inspired by notable figures in science and technology.
Work at Amazon Logistics
Geovanny Tabango has been employed at Amazon Logistics as a Warehouse Associate since 2020. His role involves managing inventory, ensuring efficient operations, and supporting the logistics processes within the warehouse environment. He has accumulated four years of experience in this position, contributing to the overall efficiency and productivity of the facility located in Manchester, England.
Previous Experience in IT Support
Before joining Amazon Logistics, Geovanny worked at the London Borough of Hackney as an Information Technology Help Desk staff member for a brief period in 2018. His responsibilities included providing technical support and assistance to users, which contributed to his foundational knowledge in IT operations.
Background in Supervision
Geovanny served as a Supervisor at Gray's Inn from 2016 to 2019. During his three years in this role, he was responsible for overseeing operations and managing staff, which provided him with valuable leadership experience in a professional setting located in London, England.
Education and Expertise
Geovanny studied at Westminster Kingsway College from 2016 to 2018, where he pursued Engineering and achieved a BTEC qualification. He furthered his education at The University of Salford, studying Computer Science from 2019 to 2024, where he is expected to earn a Bachelor's degree. His educational background reflects a strong foundation in both engineering and computer science.
Inspiration and Motivation
Geovanny's career path has been influenced by notable figures in the field of science and technology. He was inspired by Chema Alonso's lectures to focus on computer science with an emphasis on internet safety. Additionally, he draws motivation from renowned scientists such as Stephen Hawking, Brian Cox, and Carl Sagan, which fuels his passion for continuous learning and exploration of the unknown.