Skills & Competencies

Corey leverages advanced analytics and modern web technologies for business intelligence, dashboards, and process automation. These competencies support quality reporting, trend analysis, and data-driven decision-making.

Core quality systems, standards, and continuous improvement methodologies: QMS implementation, auditing, statistical process control, corrective action, and production part approval.

Additional skills that support quality engineering and data analysis roles: advanced product quality planning, control plans, design of experiments, document control, calibration, and statistical software. Experience in these areas complements the core competencies above.

• APQP (Advanced Product Quality Planning) - Planning and documentation for new product launch; aligns with PPAP and control plans.
• Control Plans - Process control documentation and reaction plans; used alongside SPC and FMEA.
• DOE (Design of Experiments) - Structured experiments for process optimization and root cause validation; complements root cause analysis and DMAIC.
• Document Control - Revision control, approval workflows, and traceability; supports ISO 9001 and CAPA compliance.
• Calibration & MSA - Gage calibration and measurement system analysis; see Gage R&R for MSA depth.
• IATF 16949 / Automotive QMS - Automotive quality management; overlaps with ISO 9001, PPAP, and APQP.
• Minitab & Statistical Software - Capability studies, Gage R&R, and DOE; used in conjunction with SPC and process capability work.
• ETL & Data Pipelines - Extract, transform, load for dashboards; supports Power BI and SQL reporting (see Quality Dashboards case study).
• KPIs & Quality Metrics - Defining and tracking key performance indicators; delivered via trend analysis and Power BI dashboards.
• First Article Inspection (FAI) - First-piece verification and documentation; related to PPAP and control plans.

For interactive tools (AQL calculator, Cpk, sigma level), visit Tools. For proven outcomes, see Case Studies.