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Craig Leathers
Staff Data Analytics Lead / Data Scientist specializing in manufacturing process control
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Intel veteran who applied multiple linear regression and time-series drift analysis to semiconductor lithography overlay/metrology data, feeding model outputs into automated process control. Comfortable working across Python, VBA, and JMP/JSL, with a pragmatic approach to validation (RMSE + trend visualization) and data quality via close coordination with measurement/metrology teams.
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Key Strengths
- Applied regression modeling to semiconductor lithography overlay error characterization
- Closed-loop integration of model outputs into automated process control systems
- Model validation using RMSE and trend/visual drift analysis
- Practical data cleaning via collaboration with metrology teams and exclusion of non-representative experimental product data
- Tool flexibility across Python, VBA, and JMP/JSL to support different stakeholder needs
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