Quality Assurance Six Sigma

Aayush Chheda

*****************@*****.*** San Jose, CA Green card holder 669-***-**** http://www.linkedin.com/in/aayushchheda SUMMARY: Engineering Management graduate with experience in the Automotive industry. Proficient in performing quality analysis, problem-solving, forecasting, inventory management, applying Lean and Six Sigma principles, statistical analysis, ANOVA analysis, data analysis, and possess strong organizational skills. EDUCATION: M.S. Engineering Management San Jose State University, USA GPA – 3.67 (Aug’15 - May’17) B.E. Automobile Engineering Manipal University, India GPA – 3.2 (Jun’10 - May’14) SKILLS

• Technical Skills Solid Works, Visio, CNC programming, Precision tree tool, Creo, AutoCAD, SQL

• Statistical tools Minitab, MS Excel, R programming

• Lean Quality tools 8 D, SPC, VSM, RCA, PFMEA, R&R, PPAP, APQP, 5S

• Quality Compliance ISO 900, ISO/TS 16949

• Certifications Six Sigma Green Belt (May 2016), Mechanical CAD – Solid Works (In progress) PROFESSIONAL EXPERIENCE:

Student Assistant, Department of Aviation and Technology, SJSU. (Feb’17 - May’17)

• Designed layouts for mechanical laboratories and facilities using AutoCAD design software and recorded inventory. Quality Assurance Engineer, Jetex Carburettors Pvt. Ltd., India. (Jun’14 - Nov’14)

• Worked with customers to resolve issues with failed products.

• Assisted in internal audits for ISO 9001 & TS16949 and created roll out corrective action plans.

• Responsible for Supplier PPAP submission for Prototype and Production. Reviewed incoming PPAP from tier two suppliers.

• Reduced manufacturing costs by 6% by implementing PFMEA, SPC, and Poka - Yoke to drive continuous improvement activities.

• Implemented VSM and 5S initiatives to improve process layouts and optimized the cycle time for assembly processes.

• Created and analyzed Ishikawa diagrams for internal processes, and assisted in reducing defects (12%) by developing jigs and fixtures. Engineering Intern, TATA Motors Ltd., Dharwad, India. (May’13 - July’13)

• Performed root cause analysis for major brake oil leakage failures using five why analysis, FMEA, and Pareto analysis.

• Identified key value streams in RPM check process and implemented lean initiatives to reduce the seven wastes.

• Rectified brake oil leakage by redesigning parts, and established SOPs to minimize errors in 40% of vehicles.

• Implemented preventive actions that resulted in higher employee safety and reduction of the lead time by 40 seconds. PROJECTS:

Six Sigma Flex Production Process Improvement, Acosta Steel Co. (Feb’16 - May’16)

• Executed a DMAIC project for multiple processes of wire flex fabrication. utilizing FMEA, SPC, ANOVA, hypothesis testing, Ishikawa, and Pareto analysis.

• Developed a better process layout using VSM and devised better inventory management to reduce the total production lead time from 13 days to 9 days and cycle time from 55s to 45s. Quality Assurance for cycle time (Aug’16 - Oct’16)

• Led a team to accomplish retrospective analysis and process monitoring for the insulation attachment of flex fabrication.

• Analyzed the cycle time data using Statistical Process Control charts, ANOVA, and Gage R&R analysis.

• Rectified assignable causes to establish statistical process control and improve the process capability. Lean Manufacturing Process Improvement for bicycle crankset assembly (Sep’15 - Dec’15)

• Designed a U-shaped layout and built a Kanban pull system to improve the work flow of the bicycle crank set assembly.

• Integrated tools such as Value Stream Mapping, level scheduling, SMED, and Kaizen to perform time studies.

• Reduced the total lead time from 9.5 days to 5.5 days and the process cycle time from 175 s to 142.5 s. Reliability study of HMO - HIV survival (Oct’16 - Dec’16)

• Conducted a reliability study on a type II process of survival rate of HMO- HIV patients in a hospital.

• Analyzed data by studying Reliability plot, Cumulative hazard plot, hazard rate plot, and probability density function plot using Kaplan-Meier model, Exponential model, Weibull model, and Lognormal model.

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