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Quality Engineer, Design Control, PFMEA / DFMEA, Lean Manuf

Ypsilanti, Michigan, United States
$ 55,000 p.a
February 23, 2018

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Phone: 470-***-****

Summary: Recent Graduate in Industrial Engineering from UT Arlington with 3 years of industrial experience in Cost analysis, Gage R & R, PFMEA, CAPA, Statistical Process Control, DFMEA, APQP, Regression Analysis, GD&T, Production Quality, Lean Manufacturing, Kaizen, CE Diagrams and Root Cause Analysis. Seeking full time opportunities in a globally focused organization


M.S. Industrial Engineering, May 2017

The University of Texas at Arlington, United States

Core Competencies:

Enterprise resource planning (ERP)

Simulation and Optimization

Advanced Operations Research

Facilities Planning (Auto Cad)

B.E. Mechanical Engineering, May 2012

Anna University Chennai, India.

Core Competencies:

Manufacturing Technology

Total Quality Management

Principle of Management

Unconventional Machining Process




Measured and maintained multiple supplier performance through quality metrics and provided quarterly supplier/vendor performance score cards.

Coordinated with suppliers to rectify complaints and meet industry standards by using suitable Corrective Action Preventive Action (CAPA)

Responsible for reviewing periodic design changes in Auto Cad and assure reliability requirements meeting with operational procedures in production equipment, test equipment and utilities.

Working with cross functional teams in investigating customer complaints and provided consistent technical solutions meeting the objectives.

Worked in process flows, Product Development History documents, operational protocols and reports

Used statistical tools like Pivot tables, Pareto chart, CE diagrams, root cause analysis, Gauge R & R, Risk Analysis and PFMEA in remediation work of supplier quality by eliminate Non-conforming processes.

Supported base level engineers in arising line safety and ergonomics by applying suitable control measures and to address issues consistently in operator stations thereby enhance the productivity by 50%.


Underwent a direct time study at the Pie Five Pizza Restaurant using Snap Back method: Sept 2015

Calculated obtained standard time in processing a single pizza by studying AVG observed time & normal time. Analyzed data to obtain variance and evaluate N (No. of samples required) for each element in the process. AVG Std. time obtained for servicing a single order was 3.88 (Decimal minutes). Hence the time required for pizza preparation is optimized.

Design and Fabrication of Multi Angled Fixture for VMC in ADDISON & CO., LTD Nov 2011

The fixture’s 2-d and 3-d drawings were designed in Auto CAD and Pro-E, while stress and strain were calculated in ANSYS. Finally, the working model of fixture is fabricated with the dimensions that tilts and swivels in all six degrees of freedom. The fixture holds the job in a Vertical Machining Center (VMC), thus optimizing the machining process with ease. On further automation, more tedious and demanding operations could also be achieved.

TECHNICAL SKILLS: MS suite, AutoCAD, ANSYS, SAS, Pro-E, Oracle 11g, Core JAVA, ERP: SAP Net Weaver, and SIMIO

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