Delhi, India
Conducted structured failure analysis on critical equipment, identifying key mechanical, operational, and environmental contributors to breakdowns. Developed an end-to-end predictive maintenance model using machine learning algorithms trained on historical sensor data including vibration, temperature, and acceleration.
Developed a custom Inventory Management System, replacing existing fragmented Excel-based system with a centralized digital solution that streamlined data from hundreds of disparate files. Reduced manual data handling workload by over 95% — transforming a tedious, error-prone process into a single automated interface, boosting efficiency by nearly 30x.Enabled real-time inventory visibility.