Julphar Gulf Pharmaceutical Industries Interview Questions and Answers

Q1. What are the definitions and differences between molarity, molality, and normality?
Ans. 
Molarity, molality, and normality are all concentration units used in chemistry.
• Molarity is the number of moles of solute per liter of solution.

• Molality is the number of moles of solute per kilogram of solvent.

• Normality is the number of equivalents of solute per liter of solution.

• Molarity is temperature dependent, while molality is temperature independent.

• Normality is used in acid-base reactions to measure the concentr
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Basic one 2 coding and rest are aptitude

Q1. Explain the best sorting technique
Ans. 
The best sorting technique is the one that suits the specific requirements of the data set, such as quicksort or mergesort.
• Consider the size of the data set and the range of values

• Choose a sorting algorithm based on time complexity and space complexity

• Quicksort is efficient for large data sets, while mergesort is stable and works well with linked lists
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Q2. Do you have any experience in marketing
Ans. 
Yes, I have over 5 years of experience in marketing, including digital marketing, social media marketing, and content marketing.
• Over 5 years of marketing experience

• Specialize in digital marketing, social media marketing, and content marketing

• Managed successful marketing campaigns for various clients
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Q1. Why Astra Zeneca
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Q2. After completing a B.Tech in IT, You have decided to pursue a career in Digital Marketing. How does it work?
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Q1. Basic Communication skills
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Q1. Enter katren Aggen
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Q2. Pacific time wherein
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Q3. Ihvse they aren't
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Q4. Enter ketern aggen
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Q1. Explain your project
Ans. 
Developed a predictive model for customer churn using machine learning algorithms
• Used R programming language to clean and preprocess customer data

• Implemented various machine learning algorithms such as Random Forest and Logistic Regression

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. What metrics you used to test the models deployed
Ans. 
I use metrics such as accuracy, precision, recall, F1 score, ROC-AUC, and confusion matrix to test the models deployed.
• Accuracy: measures the overall correctness of the model

• Precision: measures the proportion of true positive predictions among all positive predictions

• Recall: measures the proportion of true positive predictions among all actual positives

• F1 score: balances precision and recall

• ROC-AUC: measures the area u...read more
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Q3. How well versed are you with JavaScript?
Ans. 
I have a basic understanding of JavaScript and can work with it to some extent.
• Familiar with basic JavaScript syntax and concepts

• Able to manipulate DOM elements using JavaScript

• Have experience working with JavaScript libraries like jQuery
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Q4. Can you provide an example of integrating R with JavaScript?
Ans. 
Yes, R can be integrated with JavaScript using the 'shiny' package to create interactive web applications.
• Use the 'shiny' package in R to create interactive web applications

• Use the 'htmlwidgets' package to embed interactive R visualizations in web pages

• Utilize the 'r2d3' package to create D3 visualizations in R and embed them in web applications
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Q5. Which modules do you use in R to import Javascript?
Ans. 
The 'V8' package in R is used to import and execute JavaScript code.
• Use the 'V8' package in R to import and execute JavaScript code.

• Install the 'V8' package using install.packages('V8').

• Load the 'V8' package using library(V8).

• Use the v8() function to create a new V8 context and execute JavaScript code.
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