Aditya Joshi
Shutdown Planner @Rio Tinto
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WORK HISTORY
Shutdown Planner @Rio Tinto
Salt Lake City, UT, US
EDUCATION
SIT- Symbiosis Institute of Technology
Bachelor's degree, Mechanical Engineering
Virginia Tech
Master's degree, Manufacturing Systems
Texas McCombs School of Business
PGP , Data Science and Business analytics
ABOUT ADITYA JOSHI
I turn industrial data into decisions that prevent failures and save millions in downtime.I am an Industrial & Reliability Engineer at Rio Tinto, working at the intersection of asset health, predictive maintenance, and manufacturing optimization. What I Do • Monitor and optimize 500+ critical asset models using AVEVA PRISM & PI Vision • Translate real-time data into actionable maintenance strategies • Partner with site teams to validate failures and reduce downtime Impact • Contributed to multi-million-dollar savings through early failure detection and predictive maintenance strategies. • Standardized 400+ SAP maintenance plans, preventing ~$500K in potential losses. • Developed and implemented a site-wide Below-the-Hook (BTH) device register, ensuring compliance with ASME BTH-1 & B30.20 standards, improving audit readiness and reducing lifting-related risk • Led continuous improvement initiatives to standardize maintenance workflows, enhance safety practices, and improve reliability outcomes. • Managed shutdown planning and scheduling for 15+ projects, optimizing resource allocation, minimizing conflicts, and reducing contractor idle time.Educational Background • M.S. Industrial & Systems Engineering (Manufacturing Systems) • Mechanical Engineering foundation • Data Science & Predictive Analytics experience Core Areas • Predictive Maintenance & Asset Health • Manufacturing Optimization & Industry 4.0 • Digital Manufacturing & Smart Factory Systems • Reliability Engineering (FMEA, RCA, RCM) • Shutdown Planning & Scheduling • Problem Solving & Root Cause Analysis • Data Analytics & Visualization (Python, Power BI, Tableau,)🤝 Let’s ConnectOpen to conversations on manufacturing, reliability, data-driven operations, robotics, and the application of AI in industrial systems.
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