Senior Quality Engineer Resume

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Senior Quality Engineer Resume

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What should I put on my resume for Senior Quality Engineer?
As a Senior Quality Engineer, highlight your experience developing and implementing quality control processes and testing procedures. Emphasize your ability to analyze data, identify trends and implement process improvements to increase efficiency and reduce defects. Mention your experience with industry-specific tools and technologies, as well as your expertise in quality management methodologies such as ISO 9001 and Six Sigma.
What are the key characteristics of an effective Senior Quality Engineer?
An effective Senior Quality Engineer should possess strong analytical and problem-solving skills, as well as experience developing and implementing quality control processes. They should have a deep understanding of quality management methodologies and be able to analyze data to identify trends and drive process improvements. Additionally, they should possess excellent communication skills, be able to work cross-functionally and be a strong team player with a commitment to continuous improvement.
What type of job path can one expect to have as a Senior Quality Engineer?
A typical career path for a Senior Quality Engineer begins with several years of experience as a Quality Engineer or Quality Technician. As one gains experience and demonstrates their ability to develop and implement effective quality control processes, they may take on more complex projects and take on additional responsibilities such as leading quality improvement initiatives and training others. With continued success, a Senior Quality Engineer may progress into a lead or managerial role, where they will be responsible for overseeing the organization's quality program and leading a team of quality professionals.

Charles Bloomberg

• New York City, New York • charlesbloomberg@gmail.com • in/cbloomberg

SUMMARY

Advanced Quality Engineer with 18 years of experience in ensuring production quality from start to finish in the automotive industry. Proven understanding of ISO quality management systems, industrial processes, and continuous improvement methodologies. Applying for the position of Quality Engineer to drive corrective actions and improve quality in a consistent manner.

EXPERIENCE

Customer Service Professional | Company B | New York, NY | June 2020 - June 2021

• As a Customer Service Professional, answered phone calls from customers who needed help with the vaccination registration process.

• Guided customers regarding the vaccination process within defined Average Handle Time and First Call Resolution.
• Appointment coordination for COVID-19 vaccination for all 50 vaccination centers in the state of north rhine-Westphalia.

Quality Consultant | Company C | New York, NY | June 2019 - June 2020

• Conducted supplier system audits, ensuring that customer requirements were met and audit results considered within customer supplierevaluation by defining corrective actions.
• Moderated a FMEA workshop for a cobot project to mitigate risks associated with and avoid future quality issues.
• Involved in creating a quality project toolbox, a repository of quality project documents and templates accessible to all Quality Consultants.

FMEA Engineer | Company D | New York, NY | June 2018 - June 2019

• Facilitated FMEA Meetings with project leaders to identify and reduce failure risks of safety-critical components and systems.
• Created and updated internal FMEA Process instructions to help teams understand the FMEA process and document the results incompliance with customer and automotive (AIAG-VDA) requirements.
• Provided methodical support based on internal Requirements/regulations of FMEAs and conducted internal ISO 9001 system auditsconsisting of four steps: Plan, Do, Check, and Act.
• Coordinated FMEA training for employees in the design office to ensure all employees were trained on the internal FMEA process.

EDUCATION

Master of Science in Biology - Data Science focus | New York University | 2020

SKILLS

Machine Learning: Python (scikit-learn, pandas, NumPy), keras, TensorFlow, Pytorch, Spark MLlib
Data Visualization Tools: Tableau, R Studio, Power BI, Latex, Advance Excel