Data Analytics Engineer
Current• Provide problem-solving, process improvement, and cost reduction opportunity support to manufacturing via engineering and statistical analytical methods based on historical and process data.• Analyze production data resulting in the identification and subsequent elimination of root cause of defective product, totaling $1.5M in manufacturing cost savings. • Delivered a JMP script connecting production and defect data via PI and SQL resulting in the reduction of the defect root cause identification timeline from 2 years to 2 weeks. • Certified instructor for Corning’s PFP (Process Fundamentals and Practices) Data Analysis Class, instructing participants how to apply the concepts and tools covered in online modules and previous courses (Process Control Process Discipline I & II) to a case study and to future project work. • Head of the Division’s Statistician Approver’s Team responsible for reviewing, critiquing, and approving plant experiments to ensure proper statistical and analytic methods are upheld during hypothesis testing.