John O.
Manufacturing Data Analyst | Process Engineer + Python/SPC Automation
I help manufacturers turn raw process and equipment data into working analytics tools — yield analysis pipelines, SPC dashboards, and predictive maintenance models that keep running long after the project ends. I bring hands-on semiconductor module/process engineering experience from Intel, combined with Python and data science skills, to bridge a gap most consultants can't: understanding what's actually driving yield loss, defects, or tool drift on the floor, and being able to code the solution myself. What I help with: - SPC dashboards and control charts for production monitoring - Root-cause analysis pipelines connecting process parameters to yield/defect data - Predictive maintenance models for tool failure/drift prediction - Automating manual Excel/JMP-based reporting into repeatable Python scripts - Cleaning up and integrating messy MES/production data so it's actually usable Background: Semiconductor module/process engineer (Intel) with production data analysis and Python automation experience. I've worked directly with high-volume manufacturing data, yield systems, and process characterization — not just analytics in the abstract. Let's talk about your data or process challenge and whether a dashboard, pipeline, or analysis project is the right fit.
Earnings and projects
An estimate from an earlier read
Across 8 contracts
Earnings, last 30 days
No data since Nov 5, 2026.