Nsovo Makhubele
About Nsovo Makhubele
Nsovo Makhubele is a Process Engineer with a background in industrial engineering, having studied at the University of Johannesburg and Cape Peninsula University of Technology. He has experience in project management, process improvement, and data analysis, and has worked at Saab in various engineering roles since 2018.
Work at Saab
Nsovo Makhubele has held multiple positions at Saab since 2018. Initially, Makhubele worked as an Industrial Engineering Intern for nine months in Centurion. Following this role, Makhubele served as a Production Engineer for eleven months in 2019. Currently, Makhubele is employed as a Process Engineer, a position held since 2020. In this role, Makhubele is responsible for preparing Statements of Work (SOW) for new projects and utilizes the PFMEA tool for process changes management.
Education and Expertise
Nsovo Makhubele studied Industrial Engineering at the University of Johannesburg from 2013 to 2017, completing a four-year program. Prior to this, Makhubele attended Cape Peninsula University of Technology from 2011 to 2012, achieving a qualification in Industrial Engineering. Makhubele's expertise includes conducting data analysis for line balancing, implementing bi-weekly 5S audits, and providing strategic finance support to streamline business processes.
Background
Nsovo Makhubele has a background in engineering, specifically in industrial engineering. Makhubele's educational journey began at Cape Peninsula University of Technology, followed by further studies at the University of Johannesburg. This academic foundation has supported Makhubele's career in various engineering roles, particularly within Saab.
Achievements
In the role of Process Engineer, Nsovo Makhubele has demonstrated the ability to implement and develop process changes management using the PFMEA tool. Makhubele conducts bi-weekly 5S implementation and audits, utilizing standardized template checklists to assess key performance indicators. Additionally, Makhubele analyzes data to identify bottlenecks and excess capacity, contributing to operational efficiency.