Profile
Quality Engineer with hands-on experience optimizing quality processes and reducing defects. Collaborative, fast learner with strong skills in Six Sigma, FMEA, and SPC. Committed to delivering reliable results, continuous improvement, and taking ownership of quality initiatives
WORK EXPERIENCE
04/2024 - 09/2024
Role: Master Thesis
Customer: Fraunhofer IKTS, Dresden, Germany
Tasks:
Conducted root cause analysis (RCA) and implemented CAPA, reducing non-conformance by 25% in fleece material. Applied Statistical Process Control (SPC), sampling techniques, and quality KPIs to optimize fleece processing steps. Created FMEA and Control Plans focused on fleece material workflows, resulting in a 15% drop in defect rates.
11/2023 - 04/2024
Role: Research Intern
Customer: Fraunhofer IKTS, Dresden, Germany
Tasks:
Applied Six Sigma principles to minimize defects in fleece material handling and processing, achieving a 20% reduction. Supported continuous improvement activities aimed at optimizing fleece material stacking, layering, and usage efficiency. Conducted error analysis and evaluated inspection procedures to improve detection accuracy for fleece-specific defects.
01/2021 - 02/2021
Role. Trainee
Customer: Vinati Limited Organics, India
Tasks:
Executed equipment calibration and asset tracking, reducing downtime by 25%. Collaborated with engineering teams to verify process capability of key components. Assisted in continuous improvement initiatives to enhance plant efficiency.
SELF INITIATED CASE STUDY
Reducing Defect Rates in Automotive Assembly Using Six Sigma DMAIC Methodology
Conducted a self-initiated Six Sigma DMAIC case study on a simulated automotive dashboard assembly line to reduce defect rates from 5.6% to 0.8%. Performed root cause analysis using tools such as Pareto charts, 5 Why, and FMEA, and proposed corrective actions including Poka-Yoke and SPC monitoring. The study demonstrated significant process improvement potential and cost savings in alignment with IATF 16949 standards.
Paint Defect Reduction ? Root Cause Analysis Case Study
Executed a self-initiated Root Cause Analysis (RCA) case study in a simulated automotive body shop to reduce paint defects such as orange peel and dust inclusions. Applied tools like 5 Why, Fishbone Diagram, and process audits to identify key issues in maintenance and material handling. Proposed corrective actions that led to a simulated 80% reduction in rework and a 14% improvement in first pass yield
FMEA Application in Automotive Door Lock Assembly
As part of a self-initiated case study to deepen my automotive quality expertise, I conducted a Process FMEA (PFMEA) on a simulated door lock assembly line. The goal was to identify and mitigate failure modes contributing to jamming and latching issues. I analyzed key process steps, prioritized risks using RPN, and proposed solutions such as Poka-Yoke mechanisms, torque spec adjustments, and fixture redesigns. These actions simulated a 65% reduction in warranty-related defects and aligned with IATF 16949 standards
Profile
Quality Engineer with hands-on experience optimizing quality processes and reducing defects. Collaborative, fast learner with strong skills in Six Sigma, FMEA, and SPC. Committed to delivering reliable results, continuous improvement, and taking ownership of quality initiatives
WORK EXPERIENCE
04/2024 - 09/2024
Role: Master Thesis
Customer: Fraunhofer IKTS, Dresden, Germany
Tasks:
Conducted root cause analysis (RCA) and implemented CAPA, reducing non-conformance by 25% in fleece material. Applied Statistical Process Control (SPC), sampling techniques, and quality KPIs to optimize fleece processing steps. Created FMEA and Control Plans focused on fleece material workflows, resulting in a 15% drop in defect rates.
11/2023 - 04/2024
Role: Research Intern
Customer: Fraunhofer IKTS, Dresden, Germany
Tasks:
Applied Six Sigma principles to minimize defects in fleece material handling and processing, achieving a 20% reduction. Supported continuous improvement activities aimed at optimizing fleece material stacking, layering, and usage efficiency. Conducted error analysis and evaluated inspection procedures to improve detection accuracy for fleece-specific defects.
01/2021 - 02/2021
Role. Trainee
Customer: Vinati Limited Organics, India
Tasks:
Executed equipment calibration and asset tracking, reducing downtime by 25%. Collaborated with engineering teams to verify process capability of key components. Assisted in continuous improvement initiatives to enhance plant efficiency.
SELF INITIATED CASE STUDY
Reducing Defect Rates in Automotive Assembly Using Six Sigma DMAIC Methodology
Conducted a self-initiated Six Sigma DMAIC case study on a simulated automotive dashboard assembly line to reduce defect rates from 5.6% to 0.8%. Performed root cause analysis using tools such as Pareto charts, 5 Why, and FMEA, and proposed corrective actions including Poka-Yoke and SPC monitoring. The study demonstrated significant process improvement potential and cost savings in alignment with IATF 16949 standards.
Paint Defect Reduction ? Root Cause Analysis Case Study
Executed a self-initiated Root Cause Analysis (RCA) case study in a simulated automotive body shop to reduce paint defects such as orange peel and dust inclusions. Applied tools like 5 Why, Fishbone Diagram, and process audits to identify key issues in maintenance and material handling. Proposed corrective actions that led to a simulated 80% reduction in rework and a 14% improvement in first pass yield
FMEA Application in Automotive Door Lock Assembly
As part of a self-initiated case study to deepen my automotive quality expertise, I conducted a Process FMEA (PFMEA) on a simulated door lock assembly line. The goal was to identify and mitigate failure modes contributing to jamming and latching issues. I analyzed key process steps, prioritized risks using RPN, and proposed solutions such as Poka-Yoke mechanisms, torque spec adjustments, and fixture redesigns. These actions simulated a 65% reduction in warranty-related defects and aligned with IATF 16949 standards