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.
- 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.