Godday Ogbo

Results-driven Reliability Engineer with 7+ years of experience blending industrial automation, mechanical systems, and data analytics. Proven track record of reducing downtime, optimizing preventive/predictive maintenance programs, and implementing data‑driven reliability strategies in logistics, security operations, and automotive service environments. Expert in root‑cause analysis, CMMS, PLC troubleshooting, and SQL/Tableau–driven condition monitoring.

Passionate about leveraging Industry 4.0 tools to extend asset life and boost operational efficiency.

Cushman & Wakefield – Woodland Park, NJ

Mechatronics & Robotic Technician (Reliability Focus)

Sept 2025 – Present

• Spearhead reliability initiatives for a high‑volume logistics site with 50+ robotic workstations and 2 miles of conveyor systems.
• Perform root‑cause analysis on recurring equipment failures; implemented design changes and revised PM procedures that reduced unplanned downtime by 30% and saved $200K annually.
• Developed a CMMS‑based failure‑tracking dashboard (SQL + Excel) to identify top failure modes, enabling proactive parts replacement and extending mean time between failures (MTBF) by 22% .
• Partner with engineering and operations to optimize robotic gripper maintenance schedules, resulting in 99% equipment uptime and a 15% reduction in spare parts consumption.
• Introduced vibration and thermal imaging checks into weekly PM rounds, transitioning from purely reactive to predictive maintenance for critical motor and bearing assets.
• Train junior technicians on reliability concepts, proper lubrication, and precision alignment techniques.

M.Sc. in Engineering Management

University of Benin, Nigeria

B.Eng. in Mechanical Engineering

Ambrose Alli University, Nigeria

Certificate in Data Science (Bootcamp)

Rutgers University, NJ