Novartis Performance Engineer Interview Questions and Answers

Q1. Angular theory questions asked
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Q1. Tell something About yourself
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my academic career.

• I am proficient in using statistical software such as R and Python for data analysis and visualization.

• I have experience in conducting market research and competitor analysis for a previous interns...read more
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Q2. For an Analyst questions of engneer where asked
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Q1. What is your name
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My name is [Your Name].
• My name is [Your Name].

• I go by the name [Your Name].

• You can call me [Your Name].
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Q2. What is telling about this company
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This company has a strong focus on innovation and technology.
• The company invests heavily in research and development.

• They have a dedicated team of engineers and scientists.

• The company regularly introduces new products and services.

• They have a strong patent portfolio.

• The company collaborates with universities and research institutions.
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Q3. What is your introduction
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I am an experienced Analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have been working as an Analyst for the past 5 years.

• I am proficient in using statistical software such as R and Python for data analysis.

• I have experience in conducting market research, analyzing trends, and making data-driven recommendations.

• I have strong analytical skills and attenti...read more
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Q4. Are you married
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No
• Answer: No

• The answer to the question is No

• No, I am not married
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Q5. What is company salary expectations
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The company salary expectations vary depending on the position and level of experience.
• Company salary expectations are typically discussed during the interview process.

• It is important to research the industry standards and salary ranges for the specific role.

• Candidates can negotiate their salary based on their qualifications and market value.

• Salary expectations should be communicated professionally and realistically.

• Ex...read more
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Tough not easy , solve leet code problems

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Q1. What ever I was mentioning in my resume from toward the questions
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Q2. Explain about UV, IR, KF, polarimeter with principle and functions
Ans. 
UV, IR, KF, and polarimeter are analytical instruments used for different types of analysis based on principles of light absorption, emission, and rotation.
• UV (Ultraviolet) spectrophotometer measures the absorption of ultraviolet light by a sample to determine its concentration or purity.

• IR (Infrared) spectrophotometer measures the absorption of infrared light by a sample to identify functional groups in organic compou...read more
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Q3. Calibration of analytical balance
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Calibration of analytical balance is essential for accurate measurements in analytical chemistry.
• Calibration involves comparing the readings of the balance to known weights.

• Regular calibration ensures accuracy and reliability of measurements.

• Adjustments may be needed if the balance readings deviate from the known weights.

• Calibration should be done using a proper calibration weight and following manufacturer's instructi...read more
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Q4. What is the range of PH and explain about calibration
Ans. 
PH range is 0-14. Calibration ensures accuracy by adjusting the PH meter to known standards.
• PH range is from 0 to 14, with 7 being neutral

• Acidic solutions have a PH below 7, while alkaline solutions have a PH above 7

• Calibration involves adjusting the PH meter using buffer solutions of known PH values

• Regular calibration ensures accurate PH measurements
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Q1. Waiting for HR round
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Q1. Introduction and your profile related questions
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Q1. How to handle noise in data
Ans. 
Handling noise in data involves techniques to clean and refine datasets for accurate analysis.
• Identify noise sources: Understand where noise originates, such as measurement errors or outliers.

• Use statistical methods: Apply techniques like mean, median, or mode to smooth data.

• Implement filtering: Use filters like moving average or Gaussian filters to reduce noise.

• Outlier detection: Identify and remove outliers using met...read more
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