Perform exploratory data analysis (EDA) across multiple manufacturing data sources to uncover patterns, root causes, and improvement opportunities.
Design, develop, and deploy Advanced Process Control (APC) and Machine Learning models to address manufacturing quality and process challenges.
Collaborate with cross-functional teams including Process Engineering, Equipment Engineering, Quality, IT, and Operations to implement and sustain SPC, FDC, RMS, APC, and ML-based solutions.
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Perform exploratory data analysis (EDA) across multiple manufacturing data sources to uncover patterns, root causes, and improvement opportunities.
Design, develop, and deploy Advanced Process Control (APC) and Machine Learning models to address manufacturing quality and process challenges.
Collaborate with cross-functional teams including Process Engineering, Equipment Engineering, Quality, IT, and Operations to implement and sustain SPC, FDC, RMS, APC, and ML-based solutions.
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Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
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