Tarik Aziz
Mechanical Engineer in Training- Asset Health @Teck Resources Limited
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WORK HISTORY
Mechanical Engineer in Training- Asset Health @Teck Resources Limited
Calgary, AB, CA
Analyze sensor data from the mobile and fixed mining equipment to create visual dashboards and critical alerts for condition based monitoring and predictive maintenance. • Support deployment of asset health monitoring alerting tools and sustain asset health monitoring software through monthly KPI reporting and troubleshooting any ongoing issues. • Support maintenance strategy team to build preventive maintenance strategies for mobile mining equipment to optimize maintenance work and improve asset health. • Review maintenance tasks and improve standard job templates for mobile mining equipment based on optimization criteria, safety and engineering best practices. • Complete tasks related to assigned engineering, equipment maintenance and reliability projects based on industry standards and best practices. • Analyze hydrocarbon management data for coal sites and compile quarterly reports for sites recommending maintenance tasks and continuous improvement opportunities to reduce leaks and hydrocarbon wastes to minimize environmental impacts. • Perform investigations for unexpected maintenance failures in mechanical systems and identify solutions and the feasibility of implementation for plant and mobile assets
EDUCATION
Memorial University, Newfoundland and Labrador
Bachelor of Engineering - BE, Mechanical Engineering
ABOUT TARIK AZIZ
Currently working as a Maintenance and Reliability Engineer in Training after graduating with a Mechanical Engineering Degree from Memorial University of Newfoundland (May 2021). I typically work on optimizing preventive maintenance processes and ensuring equipment longevity through proactive maintenance strategies for Mobile Mining Equipment. My journey in the field of maintenance and reliability engineering has equipped me with a diverse skill set, including root cause analysis, predictive maintenance techniques based on equipment sensor data, predictive modelling and failure mode effects analysis (FMEA). I am currently honing my expertise in leveraging cutting-edge technologies such as predictive analytics and IoT sensors to predict and prevent equipment failures, thereby maximizing asset reliability as well as optimizing Mobile Hauling equipment preventive maintenance tasks and schedules to reduce downtime and increase production.
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