Shire Interview Questions and Answers

Q1. Self introduction
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Q2. What is pH?
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pH is a measure of the acidity or alkalinity of a solution on a scale of 0 to 14.
• pH stands for 'potential of Hydrogen'

• It measures the concentration of hydrogen ions in a solution

• A pH of 7 is considered neutral, below 7 is acidic, and above 7 is alkaline

• Examples: Lemon juice has a pH of around 2, while baking soda has a pH of around 9
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Q3. What is ultraviolet (UV) spectroscopy, and how does it work?
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UV spectroscopy is a technique used to analyze the absorption and transmission of ultraviolet light by a sample.
• UV spectroscopy involves measuring the absorbance of ultraviolet light by a sample.

• It works based on the principle that molecules absorb UV light at specific wavelengths.

• The amount of absorption is proportional to the concentration of the absorbing species in the sample.

• UV spectroscopy is commonly used in pha...read more
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Q4. What is UV?
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UV stands for ultraviolet, a type of electromagnetic radiation with a wavelength shorter than that of visible light.
• UV radiation is commonly emitted by the sun and can cause damage to skin and eyes.

• UV radiation is categorized into UVA, UVB, and UVC based on wavelength.

• UV light is used in various applications such as sterilization, tanning beds, and counterfeit detection.
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Q5. What is fingerprint region?
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Fingerprint region refers to a specific range of frequencies in an infrared spectrum that is unique to a particular molecule.
• Fingerprint region is typically between 1500-500 cm^-1 in an IR spectrum.

• It is used for identifying functional groups in organic molecules.

• Each molecule has a unique fingerprint region due to its unique molecular structure.
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Q6. Tell me a range of UV spectroscopy
Ans. 
UV spectroscopy measures the absorption of ultraviolet (UV) light by a sample.
• UV spectroscopy is used to analyze the electronic transitions in molecules.

• It is commonly used in pharmaceuticals, environmental monitoring, and material science.

• UV spectroscopy typically ranges from 190 to 400 nm.

• The Beer-Lambert law is often applied in UV spectroscopy to quantify the concentration of a sample.

• UV spectroscopy can be used to ...read more
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Q1. Can you provide a self-introduction?
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I am a detail-oriented Quality Controller with a strong background in ensuring product quality and compliance.
• Experienced in conducting quality inspections and audits

• Skilled in identifying and resolving quality issues

• Proficient in implementing quality control procedures

• Strong attention to detail and accuracy

• Excellent communication and problem-solving skills
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Q2. Are you proficient in the Hindi language?
Ans. 
Yes, I am proficient in the Hindi language.
• Fluent in speaking, reading, and writing Hindi

• Can effectively communicate with Hindi-speaking team members

• Have experience in translating documents from Hindi to English

• Comfortable with using Hindi terminology in quality control processes
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Q3. Can you discuss the projects you completed during your college studies?
Ans. 
During my college studies, I completed several projects related to quality control in manufacturing processes.
• Developed a quality control plan for a manufacturing company to ensure product consistency and compliance with industry standards

• Conducted statistical analysis on production data to identify areas for improvement and reduce defects

• Implemented Six Sigma methodologies to optimize processes and minimize waste

• Colla...read more
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Q4. Why cipla?
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Q5. Tell me about your education
Ans. 
I have a Bachelor's degree in Quality Management from XYZ University.
• Bachelor's degree in Quality Management

• Specialized coursework in quality control techniques

• Hands-on experience with quality control processes

• Continuous learning and professional development in the field
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Q6. Tell me about your family
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I come from a close-knit family of five, including my parents, my older sister, and my younger brother.
• I have a supportive and loving family who have always encouraged me to pursue my goals.

• We enjoy spending quality time together, whether it's going on family vacations or simply having dinner at home.

• My parents have been a great source of inspiration for me, instilling values of hard work and dedication.

• My siblings and...read more
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Q1. Can you tell me about yourself?
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Q2. Human Body System And Pharmacology Half life etc
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RCPA in Market and analysis

Q1. Experience And educational Details
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Group members also strength and working important

Working fastly

Learning most important and fastly00q

Confidence and working together

Batch processing observed mostly important

Q1. Batch processing is technically and easily
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Q2. Batch processing is always smart work
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Q1. Entire hole company is dependent by hr
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Q2. All information provided the hr department
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Q1. Electricals instmant maintains
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Q2. Instmant maintains repair work
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Q3. I like my job
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Q1. Which project are you currently working on? What statistical techniques are you planning to use in the project?
Ans. 
I am currently working on a project analyzing customer behavior in an e-commerce platform.
• Using regression analysis to identify factors influencing customer purchase decisions

• Applying clustering techniques to segment customers based on their behavior

• Utilizing hypothesis testing to determine the effectiveness of marketing strategies
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Q2. Follow up to previous - What is t-test? What are some assumptions/criteria the data needs to fulfill for applying the t-test? Some questions about t distribution.
Ans. 
T-test is a statistical test used to determine if there is a significant difference between the means of two groups.
• T-test is used to compare the means of two groups to see if they are significantly different.

• Assumptions for t-test include normal distribution of data, independence of observations, and homogeneity of variances.

• There are two types of t-tests: independent samples t-test and paired samples t-test.

• T-distrib...read more
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Q3. What is the difference between descriptive and inferential statistics? Give an example to support the same.
Ans. 
Descriptive statistics summarize data, while inferential statistics make predictions or inferences about a population based on a sample.
• Descriptive statistics describe the main features of a dataset, such as mean, median, and standard deviation.

• Inferential statistics involve making predictions or inferences about a population based on a sample, using techniques like hypothesis testing and confidence intervals.

• Example: ...read more
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Q4. In descriptive statistics, what are the different techniques? Explain kurtosis and it's three types.
Ans. 
Descriptive statistics techniques include measures of central tendency, dispersion, skewness, and kurtosis.
• Measures of central tendency include mean, median, and mode.

• Measures of dispersion include range, variance, and standard deviation.

• Skewness measures the asymmetry of the data distribution.

• Kurtosis measures the peakedness or flatness of the data distribution.

• The three types of kurtosis are mesokurtic (normal distri...read more
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Q5. What is box plot? Why is it used? How do we assess the skewness of distribution from the box plot?
Ans. 
Box plot is a visual representation of the distribution of a dataset, used to identify outliers and assess skewness.
• Box plot displays the median, quartiles, and potential outliers of a dataset.

• It is used to visually assess the spread, skewness, and presence of outliers in the data.

• Skewness can be assessed from the box plot by observing the relative lengths of the whiskers and the position of the median.
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Q6. What is p-value? Explain in layman terms and give an example.
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P-value is a measure that helps determine the strength of evidence against the null hypothesis in statistical hypothesis testing.
• P-value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A low p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• For example, if a study comparing two drugs shows a p-value...read more
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Q7. Explain when ANOVA is used. What assumptions need to be fulfilled before testing with ANOVA?
Ans. 
ANOVA is used to compare means of three or more groups. Assumptions include normality, homogeneity of variances, and independence.
• ANOVA is used to compare means of three or more groups to determine if there is a significant difference among them.

• Assumptions for ANOVA include normality of data within each group, homogeneity of variances between groups, and independence of observations.

• Example: ANOVA can be used to compa...read more
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Q8. What is degree of freedom, and what does it signify? What is the real interpretation of the degree of freedom?
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Degree of freedom represents the number of independent values or quantities which can be assigned to a statistical distribution.
• Degree of freedom is the number of values in the final calculation of a statistic that are free to vary.

• In simple terms, it signifies the number of independent pieces of information available to estimate a parameter.

• For example, in a t-test, the degree of freedom is n-1, where n is the sample ...read more
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Q9. What do you know about clinical trials? What are it's phases and in each phase how the sample size is determined?
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Q10. Some resume based question on previous internship.
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Q1. Have you make any Down payment
Ans. 
Yes, I have made a down payment on my car loan.
• Yes, I made a down payment of 20% on my car loan.

• The down payment helped lower my monthly payments.

• I saved up for the down payment over several months.
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Q2. Did you come across any situation like aging invoices pending to process and how you clear that
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Q1. Structure of the application was asked
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Q2. Detailed API flow was asked for the application
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GD was with 2 team members and a director level person. Technical questions were asked by both team members which were around project management and fairly easy. Director level person, however, was more of a rude personality manager whose choice of interviewing involved asking a question and then interrupting the answer saying you should use only a single word. Question was "tell me about a time you had to deal with opposing ideas in a group setting". Considering the fact that I both worked and conducted sprints, this was right up my alley. I obviously went in for explaining the event using the STAR method (as the question itself was tell me about a time?) but she was adamant about a word. So i said what word i thought best and proceeded to explain event and then it was another question and another argument. 0 interest in hearing out my actual answer to that question. As this company is similar to my previous organization, I thought i will be patient during interview but she was only interested in arguing throughout. No semblance of interviewing, just plain brash rudeness and tyrant like behavior. 0/10 for interview, do not interview with this team or work under/for this person clearly. Employers need to get these egotistical directors in line who do not even understand how to conduct an interview or even have basic sense when talking with a stranger