Cody

2/13/2015
San Diego, CA

Position Desired

Materials Engineering
San Diego, CA
Yes

Resume

San Diego, CA 92109
linkedin.com/in/codyfastzkie

Recent graduate with a BAS in Materials Science and Engineering. Highly motivated and determined individual. Knowledgeable in engineering, data trend analysis, supply chain logistics, project management, research and design, and engineering consulting. In-depth experience with supply chain engineering and materials engineering. Industries include Biotechnical and Metals and Mining.
• Proficient analytical skills
• Excel in research, data trend analysis, logistics, and project management
• Excellent critical thinking skills
• Ability to obtain a strong work relationship with others throughout cross-functional departments
• Excellent communication skills, verbal and written, with internal and external customers

Professional Experience
LIFE Technologies – Carlsbad, CA FEB 2013 – CURRENT
Sr. Associate Business Excellence Specialist – Global Operations Rotational Program: Transportation Logistics
Program in which candidate has 6 month assignments in Transportation Logistics, Inventory Scheduling & Planning, Distribution, and Project Management.
• Customer Complaint Analysis - drive change for a 15% decrease
• Carrier Invoice Analysis - locate $1M in variance carrier charge, possible renegotiation
• Invalid Replacements - $50k/year of invalid FOC replacements - establish threshold for customer service to validate complaints prior to granting credit.
• Carrier Incorrect Address Complaints - locate root cause of repetition in ship-to address errors - lower complaint rate by 20%

ArcelorMittal Steel - Conshohocken, PA MAY – AUGUST 2012
Associate Engineering Intern
• Increased productivity and efficiency by 25% at the Load Bank and Inspection Bays through modifications of the SOPs of belt grinding, inspection, and shipping.
• Team experiments to analyze, inspect, and modify the process of DOD armor plating.
o Localized the origins of surface defects by altering variables at rolling, heat treatment, and cold leveling stages of fabrication.
• Data analysis of material grade vs. respective gauge - optimized productivity at the blaster
o Increased blaster productivity by 20%
• Collaboration with fabrication team, electrical, mechanical, and quality engineering team to reconstruct cameras, lighting, and apron cross bars.
o Increased surface defect detection by 50%

The Pennsylvania State University
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