At GE Aerospace, through a Forage supply chain virtual experience, I assessed manufacturing defect data against standard operating procedures to determine quality dispositions for non-conforming turbine components.
I also evaluated technical requirements and process workflows for engine-core turbofan disassembly fixtures. Using MS Excel and structured documentation, I compiled operational summaries to support quality and inventory decisions.
For my academic major project, Data-Driven Pattern Analytics and Prediction System, I applied machine learning and exploratory data analysis to historical datasets, using clustering and statistical evaluations to interpret patterns.
I built data visualizations and web interfaces with HTML/CSS to make analytical metrics accessible in reporting summaries. My background also includes process workflow mapping, operations optimization concepts, and technical documentation.
