Supply Chain Leader/Analyst

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Location
Candidate No.
1906605

About this Candidate

DAVRON CV: Candidate 1906605

SUPPLY CHAIN & INDUSTRIAL ENGINEER | PRODUCTION LEADERSHIP | PROCESS IMPROVEMENT

Core Expertise

  • Led night-shift production teams in high-volume food manufacturing, consistently achieving case and weight targets.
  • Delivered labor optimization project reducing weekly labor by 52 hours, producing measurable cost savings.
  • Implemented reusable packaging initiatives increasing annual carton return rate by 10% and reducing material waste.
  • Analyzed real-time production data to identify bottlenecks, implement corrective actions, and minimize downtime.
  • Coached frontline operators in machine operation, safety, and troubleshooting to improve line reliability and skill depth.

Project Background

  • Designed and executed labor-allocation analytics to eliminate idle time and reassign tasks for efficiency gains.
  • Developed reusable carton management strategy improving returns and reducing disposal costs across production lines.
  • Led cross-functional teams with maintenance and quality to resolve recurring downtime issues and improve OEE.
  • Conducted root-cause analysis and technical troubleshooting across 50+ rooms/devices in campus AV operations.
  • Proposed communication-system improvements after stakeholder interviews, documented solution for managerial review.

Key Skills

  • SolidWorks | MATLAB | R Studio | AutoCAD
  • Microsoft Excel | PowerPoint | Word | Teams
  • Data analysis | Statistical quality methods | Engineering analytics
  • Lean Six Sigma concepts | Process mapping | Waste reduction
  • Production leadership | Shift management | Troubleshooting
  • Bilingual: English and Arabic

Education

  • B.S., Industrial Engineering — University of South Florida

Why Interview this Candidate?

A results-driven supply chain and industrial engineering professional with hands-on production leadership and continuous improvement experience. They delivered a 52-hour weekly labor reduction and a 10% uplift in reusable carton returns through analytic problem solving and cross-functional execution. Skilled in data analysis, production troubleshooting, and operator coaching, they can quickly contribute to operations or continuous-improvement teams.

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