Atomberg Technologies Failure Analysis Engineer Interview Questions, Process, and Tips

I conducted 15 field visits. The most critical issue was a faulty component causing system failure.

• Conducted 15 field visits to various locations

• Encountered a critical issue with a faulty component leading to system failure

• Collaborated with on-site teams to diagnose and address the issue

• Implemented corrective actions to prevent future failures

I identified the root cause by conducting thorough analysis using tools such as fishbone diagram, 5 Whys, and failure mode and effects analysis (FMEA).

• Conducted a detailed investigation into the issue to gather relevant data and information

• Utilized tools such as fishbone diagram to visually map out potential causes of the problem

• Implemented the 5 Whys technique to repeatedly ask 'why' until the root cause was uncovered

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Proficient in Excel for data analysis, modeling, and visualization.

• Proficient in using formulas, pivot tables, and charts for data analysis

• Experience in creating complex spreadsheets for failure analysis reports

• Utilize Excel for statistical analysis and trend identification

• Comfortable with VLOOKUP, IF statements, and data validation in Excel

Whisker charts in Excel show variability and distribution of data points in a dataset.

• Whisker charts are also known as box and whisker plots.

• They display the minimum, maximum, median, and quartiles of a dataset.

• Whisker charts are useful for identifying outliers and understanding the spread of data.

• They are commonly used in statistical analysis and quality control.

• Example: Creating a whisker chart in Excel to analyze th

Quality tools on Excel help analyze data for identifying and solving quality issues.

• Use Pareto charts to identify the most significant quality issues

• Utilize control charts to monitor process stability and identify trends

• Perform root cause analysis using fishbone diagrams

• Use scatter plots to identify correlations between variables

• Utilize histograms to visualize distribution of data

If Cp is 0.8, the process is not capable of meeting the specified requirements consistently.

• Process may produce a high number of defects or errors.

• Variability in the process output may be too high.

• Quality control measures may need to be improved.

• Example: If Cp is 0.8 for a manufacturing process, it means the process is not capable of producing parts within the specified tolerances consistently.

The percentage rejection in process for Cp of 1.3 is calculated based on the Cp value and process specifications.

• Calculate the Cp index using the formula Cp = (USL - LSL) / (6 * standard deviation)

• Determine the process capability based on the Cp value (Cp < 1 indicates poor capability, Cp = 1 indicates minimum acceptable capability, Cp > 1 indicates good capability)

• Calculate the percentage rejection using the for

I am passionate about failure analysis and believe this company offers a great opportunity for growth and development in the field.

• Opportunity to work with cutting-edge technology

• Desire to contribute to a team of experts in failure analysis

• Company's reputation for innovation and excellence

• Alignment with personal career goals

I may not have direct experience in field quality, but I possess strong analytical skills, attention to detail, and a quick learning ability.

• I have a solid foundation in engineering principles and problem-solving techniques from my education and previous work experiences.

• I am a quick learner and have a proven track record of adapting to new environments and learning new skills efficiently.

• I am detail-oriented and have ...read more