Eli Lilly and Company Interview Questions, Process, and Tips

Q1. 1 )What is EventLoop? 2) How JavaScript runs? 3) Difference b/w var, let, and const? 4) setTimeout() related questions? 5) Clouser-related questions?
Ans. 
EventLoop is a mechanism in JavaScript that allows for asynchronous execution of code.
• EventLoop is responsible for managing the execution of code in JavaScript.

• It ensures that code is executed in a non-blocking manner.

• EventLoop continuously checks for any pending tasks and executes them.

• It maintains a call stack and a task queue to manage the order of execution.

• EventLoop is crucial for handling asynchronous operations
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Q2. AWS related - EC2 and Lambda
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Q1. Scenario-based question - Why Lilly? How do you handle most tough clients?..
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Q1. JavaScript and NodeJs related Question - Promises, middleware, custom middleware. AWS Question - Scalability, ECS, EKS, etc.
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Q1. Technical- AWS (Lambda, GraphQL, etc) Behavioral- Why lilly? How was the experience working with clients from EU?
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Basic maths and reasoning questions

Q1. Mainly focused the interview on depth of knowledge
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Q1. Question on csqa and gxp standard
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Q1. Discussion on salary and designation
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Q1. Situation given we had to write code in R to solve that
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Q2. Questions asked about the project we finished in last company
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Q1. Similar to round 1
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Q1. Asked for introduction
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Q2. Technical experience in Data science
Ans. 
I have 5 years of experience in data science, including machine learning, data analysis, and statistical modeling.
• Experience with machine learning algorithms such as regression, classification, clustering

• Proficient in data analysis tools like Python, R, SQL

• Strong background in statistical modeling and hypothesis testing

• Worked on projects involving natural language processing and computer vision

• Experience with big data
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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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