Matthew Stover Email & Phone Number
@sorensoneng.com
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Who is Matthew Stover? Overview
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Matthew Stover is listed as Senior Quality Engineer at Eaton, a with 8 employees, based in Los Angeles, California, United States. AeroLeads shows a work email signal at sorensoneng.com and a matched LinkedIn profile for Matthew Stover.
Matthew Stover previously worked as Senior Quality Process Engineer at Sorenson Engineering Inc. and Technology Engineer at Sorenson Engineering Inc.. Matthew Stover holds Bachelor Of Engineering - Be, Mechanical Engineering from Case Western Reserve University.
Email format at Eaton
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AeroLeads found 1 current-domain work email signal for Matthew Stover. Compare company email patterns before reaching out.
About Matthew Stover
Matthew Stover is a Senior Quality Engineer at Eaton. He possess expertise in lean manufacturing, plc ladder logic, root cause analysis, matlab, quality engineering and 27 more skills.
Listed skills include Lean Manufacturing, Plc Ladder Logic, Root Cause Analysis, Matlab, and 28 others.
Matthew Stover's current company
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Matthew Stover work experience
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Role listed
Senior Quality Engineer
Senior Quality Process Engineer
Lead a team of 9 quality engineers and technicians in building new quality control processes capable of supporting production of high precision electrical components across 90+ CNC Swiss Lathes in a new facilityDeveloped new inspection standards and methods for earlier and faster identification and correction of errors leading to a 25% reduction in nonconformance ratesOptimized procedures to ensure automated inspection programs were ready for production at or before the completion of a new part setup resulting in a 70% increase in machine utilizationDeveloped custom automation tools to interface ERP job data with quality control plans and metrology systems via QR-codes to ensure that inspection data is collected per the plans and tagged with job metadataAided in transitioning the company-wide data collection system to an SQL database-based system enabling efficient data access for post-machining processes and process improvement analyticsSupported a data collection software transition by reverse engineering the legacy platform and writing a Python script to automate the conversion of 60,000+ existing inspection plans
Technology Engineer
Improved and simplified quality control planning efforts to increase automated inspections while simultaneously decreasing total inspections and nonconformancesGained experience programming vision and contact inspection systems to accurately and repeatably inspect products for conformance to customer specifications with minimal human inputOptimized specifications and inspection methods with customers and manufacturing teams to simplify machining and downstream heat treatment, deburring, plating, and assembly operations
Associate Process Improvement Engineer
Utilized manufacturing data to optimize heat order and reduce heat diversions and delays which reduced track times in the ingot-making facility by 11.5% and increased throughput by 20%Used video and RFID tracking data to reduce transfer delays between the ingot-making and rolling facilities leading to decreases in “Not ready to roll” and ingot mold stripping delays and unscheduled banking of heatsCreated Automated reports using JSL scripts and real-time manufacturing data to alert manufacturing teams of possible opportunities, impending complications, and overall process performance and capabilityParticipated in interdisciplinary endeavors focused on optimizing manufacturing capabilities and eliminating waste in a lean environment using Lean Six Sigma methodologies
Student Researcher
Contributed as second author in the publication Distributed Sensing for Soft Worm Robot Reduces Slip for Locomotion in Confined Environments for the Conference on Biometric and Biohybrid Systems. Integrated real-time sensory feedback onto a compliant worm robot using strategically-placed force and pressure sensors combined with circuit boards, designed and created in-house. Programmed microcontrollers to collect and interpret sensory data in real time and dynamically update actuation scheme to optimize performance. Invited by NASA SLOPE to test worm robot in their facilities, compared locomotive capabilities between the peristaltic motion of robot and the current wheels on NASA rovers, determined robot design could navigate steeper terrains than wheels.
Server / Server Trainer
Provided fast and accurate service while working with customers to guarantee their satisfaction.Worked in a team setting to ensure consistent, quality service.Assigned nightly tasks to serving staff and ensured that tasks were completed correctly and on time.Trained new employees on how to communicate with customers, work as a team, and manage time properly in a fast paced environment.
Matthew Stover education
Bachelor Of Engineering - Be, Mechanical Engineering
Computer Science
Frequently asked questions about Matthew Stover
Quick answers generated from the profile data available on this page.
What company does Matthew Stover work for?
Matthew Stover works for Eaton.
What is Matthew Stover's role at Eaton?
Matthew Stover is listed as Senior Quality Engineer at Eaton.
What is Matthew Stover's email address?
AeroLeads has found 1 work email signal at @sorensoneng.com for Matthew Stover at Eaton.
Where is Matthew Stover based?
Matthew Stover is based in Los Angeles, California, United States while working with Eaton.
What companies has Matthew Stover worked for?
Matthew Stover has worked for Eaton, Sorenson Engineering Inc., Timkensteel Corporation, Biologically Inspired Robots (Case Western Reserve University), and Rrr Roadhouse.
How can I contact Matthew Stover?
You can use AeroLeads to view verified contact signals for Matthew Stover at Eaton, including work email, phone, and LinkedIn data when available.
What schools did Matthew Stover attend?
Matthew Stover holds Bachelor Of Engineering - Be, Mechanical Engineering from Case Western Reserve University.
What skills is Matthew Stover known for?
Matthew Stover is listed with skills including Lean Manufacturing, Plc Ladder Logic, Root Cause Analysis, Matlab, Quality Engineering, Visual Studio, Process Validation, and Data Analysis.
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