Raya Dutta

Drive AI/ML and predictive analytics initiatives focused on Remaining Useful Life (RUL) prediction, applying machine learning algorithms and statistical analysis to support predictive maintenance use cases.

• Translate equipment and product-support challenges into data-driven analytics solutions using diagnostic code data and electrical schematics to improve troubleshooting and analytical accuracy.

• Develop and support end-to-end analytics workflows covering data preparation, feature engineering, model evaluation, deployment activities, and model monitoring.

• Collaborate with global stakeholders to understand business requirements, define priorities, estimate budgets, plan initiatives, and execute analytics projects using Agile methodologies.

• Partner with cross-functional engineering, product support, and business teams to identify opportunities for AI/ML-driven automation and operational improvement.

• Develop analytics solutions and dashboards that enable data-driven decision making, operational efficiency, and improved product-support capabilities.

• Developed Tableau-based forecasting and planning solutions recognized in a global Product Support Services hackathon.

• Support enterprise analytics initiatives by aligning AI/ML solutions with business objectives, operational requirements, and scalable implementation practices.

• Contribute to evaluation and application of emerging Generative AI, RAG, and LLM concepts for potential enterprise analytics and AI solution use cases.