About this Candidate
DAVRON CV: Candidate 1885342
PROCESS & QUALITY ENGINEER | LEAN MANUFACTURING, NPI, ROOT CAUSE ANALYSIS
Core Expertise
- Process optimization using Lean, Six Sigma, poka-yoke, and DFM to improve yield and reduce scrap.
- Root cause analysis and corrective action implementation to reduce failures and improve reliability.
- New product introduction support including workstation setup, SFC reviews, and manufacturing readiness.
- Quality systems oversight: SOPs, first article inspection, MRB facilitation, and change management.
- Data-driven decision making using ERP, CMMS, and analytics tools to track and improve metrics.
Project Background
- Reduced scrap from 15% to 4% in a high-mix assembly environment through DFM and process controls.
- Implemented standardized rework workflows collaborating with test, quality, materials, and production teams.
- Managed BOMs and engineering change orders using SAP to support configuration control and material planning.
- Led investigations of field and production failures, delivering CAPAs that improved product reliability.
- Developed and revised SOPs and trained production inspectors and operators on inspection criteria and fixtures.
Key Skills
- SAP ERP | SFC | CMMS | PLM
- Python | MySQL | Tableau | Microsoft Office | Visio
- GD&T | FMEA | DFM | RCA
- Lean Manufacturing | Six Sigma | 5S | Poka-Yoke
- First Article Inspection | MRB | Product Testing
- SOP Development | BOM Management | ECO/ECR
Education
- B.B.A., Management Information Systems — University of Houston Downtown; Minor in Control & Instrumentation Engineering Technology
Why Interview this Candidate?
A process-focused quality engineer with measurable impact in high-mix electronics assembly, including a documented reduction in scrap and improvements to NPI throughput. Brings hands-on experience with SAP, SFC, CMMS, root cause analysis, and cross-functional coordination with test, materials, and production teams. Well-suited to roles seeking practical manufacturing problem-solvers who can translate data into durable process and quality improvements.
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