Nirav Aviya

- Predictive maintenance for injection molding machines using historical process data and machine learning algorithms to predict failures and optimize uptime • Grafana dashboards creation with JSON API to visualize real-time and historical process data, improving operational insights and decision-making • Managing project lifecycle using MS Project, ensuring timely delivery, and effective stakeholder communication

- Tested and validated PLC panels, control panels, sensors, MV & HV switchgears, electrical drive systems, and cables, ensuring compliance with IEC and ISO standards for Oil and Gas, FPSO, and FSO projects - Collaborated with cross-functional teams, demonstrating self-organization to deliver high-quality results and align objectives with strategic initiatives

- Literature review on lithium-ion battery and data-driven algorithms - Applied CRISP-DM framework to implement Transformer algorithms using Python, TensorFlow, and Keras, predicting EV battery failures from time-series data to enable accurate diagnostics and enhance vehicle safety and reliability

- Tested 5G networks to ensure reliability, functionality, and compliance with standards - Network testing with TSMA, utilizing advanced data extraction and analysis to enhance performance