Eversana Data Analyst Interview Questions and Answers

Q1. What is difference between validation and qualification
Ans. 
Validation ensures that the system meets the user's needs, while qualification ensures that the system is installed and operates correctly.
• Validation confirms that the system meets the user's requirements and expectations.

• Qualification ensures that the system is installed correctly and operates within predefined specifications.

• Validation is more focused on user needs and expectations, while qualification is more focuse...read more
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Q2. What is GLP and data integrity
Ans. 
GLP stands for Good Laboratory Practice, which ensures the reliability and integrity of data generated in a laboratory setting.
• GLP is a set of guidelines for conducting non-clinical safety studies on chemicals, pharmaceuticals, and other products.

• It includes requirements for the organization, personnel, facilities, equipment, and documentation of studies.

• Data integrity refers to the accuracy, completeness, and reliabil...read more
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Q1. What is HPLC and GC
Ans. 
HPLC and GC are analytical techniques used in chemistry to separate and analyze compounds in a mixture.
• HPLC stands for High Performance Liquid Chromatography, which uses a liquid mobile phase to separate compounds based on their interactions with a stationary phase.

• GC stands for Gas Chromatography, which uses a gas mobile phase to separate compounds based on their volatility and interactions with a stationary phase.

• Bot...read more
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The first round had aptitude,logical reasoning questions. There were three coding question of which I remember Jump Game IV.

Q1. They started off with a brief introduction of myself and then asked questions regarding my projects.And this went on - mainly based on projects.
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SQL and 2 coding questions

Round 1 consisted of Aptitude and coding questions. Aptitude was doable and coding questions were a bit difficult.

Q1. CV go through. Tell me about your Projects.
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Q2. Explain any supervised and unsupervised algorithm.
Ans. 
Supervised algorithms learn from labeled data while unsupervised algorithms learn from unlabeled data.
• Supervised algorithms are used for classification and regression tasks.

• Examples of supervised algorithms include decision trees, random forests, and support vector machines.

• Unsupervised algorithms are used for clustering and dimensionality reduction tasks.

• Examples of unsupervised algorithms include k-means clustering,
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Q3. Difference between SQL and MySQL
Ans. 
SQL is a language used to manage relational databases while MySQL is a relational database management system.
• SQL is a language used to manage relational databases while MySQL is a relational database management system.

• SQL is a standard language used across different database management systems while MySQL is a specific implementation of a relational database management system.

• MySQL is open-source and free to use while ...read more
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Q1. Where do u see yourself in couple of years and why Eli Lilly.
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Q2. Strengths and weaknesses
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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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Aptitude and technical

Q1. Projects,resume and 2 basic coding questions
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Q2. Count the frequency of numbers in an array
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Q3. 2d dictionary python code
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Q1. I was not selected
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