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Eli Lilly and Company Interview Questions and Answers
37 Interview questions
Fundamentals of API testing include understanding API endpoints, request methods, response codes, data formats, and authentication.
Understanding API endpoints and their functionalities
Testing different request methods like GET, POST, PUT, DELETE
Validating response codes such as 200, 400, 401, 404, etc.
Verifying data formats like JSON, XML, or others
Testing authentication mechanisms like OAuth, API keys, or tokens
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 ...
Write R code to analyze a dataset and extract meaningful statistics.
Load necessary libraries: e.g., library(dplyr) for data manipulation.
Import data using read.csv() or read.table(). Example: data <- read.csv('data.csv')
Use summary() to get basic statistics: summary(data).
Apply functions like mean(), median(), and sd() for specific analyses.
Visualize data with ggplot2: ggplot(data, aes(x=variable)) + geom_histo...
Gen Ai refers to the generation of artificial intelligence that focuses on mimicking human cognitive functions.
Gen Ai aims to create AI systems that can think, learn, and problem-solve like humans.
It involves technologies such as natural language processing, machine learning, and neural networks.
Examples include virtual assistants like Siri and Alexa, as well as self-driving cars.
Microservices are a software development technique where applications are broken down into smaller, independent services that communicate with each other through APIs.
Microservices are small, independent services that focus on specific business functions.
Each microservice runs its own process and communicates with other services through APIs.
Microservices can be developed, deployed, and scaled independently of eac...
The clean up is performed in the useEffect hook in React.
Clean up code is typically written in the return function of the useEffect hook.
This is useful for unsubscribing from subscriptions, clearing intervals, or any other necessary clean up tasks.
Example: useEffect(() => { // code here return () => { // clean up code here } }, [])
LSTM is like a special type of memory that helps computers remember important things for a long time.
LSTM is a type of neural network that can remember information for a long time.
It is good at understanding sequences of data, like words in a sentence or values in a time series.
LSTM can help predict future outcomes based on past patterns, like predicting the next word in a sentence or stock prices.
It is commonly u...
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-...
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.
Exam...
OAuth and Open ID Connect are protocols used for authentication and authorization in web applications.
OAuth is used for authorization, allowing a user to grant access to their resources without sharing their credentials.
Open ID Connect is an authentication layer on top of OAuth, providing user authentication and information about the user.
OAuth 2.0 is commonly used for API authorization, while Open ID Connect is u...
Eli Lilly and Company Interview Experiences
76 interviews found
Anonymous
Selected
I appeared for an interview before Jul 2024, where I was asked the following questions.
- Q1. What are one of the challenges you faced in this role
- Ans.
One challenge I faced was managing data quality issues in large datasets, impacting analysis accuracy.
Inconsistent data formats: For example, dates recorded in multiple formats required standardization before analysis.
Missing values: I implemented imputation techniques to handle gaps in the dataset, ensuring robust statistical results.
Outlier detection: Identifying and addressing outliers was crucial, as they could ske...
- Q2. More clinical trial and study specific questions
I applied via Campus Placement and was interviewed in Jul 2024. There was 1 interview round.
(10 Questions)
- 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
- 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...
- 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: ...
- 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...
- 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.
- Q6. What is p-value? Explain in layman terms and give an example.
- Ans.
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...
- 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...
- Q8. What is degree of freedom, and what does it signify? What is the real interpretation of the degree of freedom?
- Ans.
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 ...
- Q9. What do you know about clinical trials? What are it's phases and in each phase how the sample size is determined?
- Q10. Some resume based question on previous internship.
Interview Preparation Tips
- Inferential Statistics
- Descriptive Statistics
However, for my peers from statistics background, a lot of questions revolved around that. Also, the interview goes deeper into statistics, the fundamentals and interpretations of small small things. Need to be thorough with descriptive as well as inferential statistic concepts.
Skills evaluated in this interview
Selected
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
(5 Questions)
- Q1. SOLID Principles
- Q2. Basic OOPS concepts
- Q3. Programming patterns
- Q4. Factory Design Pattern
- Q5. Basic Angular Questions
Interview Preparation Tips
Harsh Chopra
(2 Questions)
- Q1. Software cycle management
- Q2. Design an Healthcare app for diabetes patients
(2 Questions)
- Q1. What are the fundamentals of API testing?
- Ans.
Fundamentals of API testing include understanding API endpoints, request methods, response codes, data formats, and authentication.
Understanding API endpoints and their functionalities
Testing different request methods like GET, POST, PUT, DELETE
Validating response codes such as 200, 400, 401, 404, etc.
Verifying data formats like JSON, XML, or others
Testing authentication mechanisms like OAuth, API keys, or tokens
- Q2. Python Framework structure, oops concept
Ratul Ghosh
(1 Question)
- Q1. Depth question about javascript
(1 Question)
- Q1. Details about javascript
(1 Question)
- Q1. Behavioral round
I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
(2 Questions)
- Q1. Why do you want to work for eli lilly
- Q2. Tell me about a time you perserved
- Ans.
I faced a challenging project deadline and overcame obstacles through determination and teamwork.
Worked on a critical software project with a tight deadline.
Encountered unexpected technical challenges that delayed progress.
Collaborated with team members to brainstorm solutions and divide tasks.
Put in extra hours and maintained open communication with stakeholders.
Successfully delivered the project on time, receiving po...
It contains multiple sections and it also contains coding test section also
(3 Questions)
- Q1. What is gen Ai?
- Ans.
Gen Ai refers to the generation of artificial intelligence that focuses on mimicking human cognitive functions.
Gen Ai aims to create AI systems that can think, learn, and problem-solve like humans.
It involves technologies such as natural language processing, machine learning, and neural networks.
Examples include virtual assistants like Siri and Alexa, as well as self-driving cars.
- Q2. What is cloud and how it works?
- Ans.
Cloud computing is the delivery of computing services over the internet, including storage, servers, databases, networking, software, and more.
Cloud computing allows users to access and use resources on-demand without the need for physical infrastructure.
It offers scalability, flexibility, cost-effectiveness, and increased efficiency compared to traditional on-premises solutions.
Examples of cloud services include Amazo...
- Q3. About my projects and asked me to explain?
Skills evaluated in this interview
(2 Questions)
- Q1. Everything about designing. caching. Azure functions.
- Q2. ABout current project. microservices. databases.
jitesh singh
I appeared for an interview in Sep 2024.
(2 Questions)
- Q1. In which hook do we perform the clean up?
- Ans.
The clean up is performed in the useEffect hook in React.
Clean up code is typically written in the return function of the useEffect hook.
This is useful for unsubscribing from subscriptions, clearing intervals, or any other necessary clean up tasks.
Example: useEffect(() => { // code here return () => { // clean up code here } }, [])
- Q2. What are micro services
- Ans.
Microservices are a software development technique where applications are broken down into smaller, independent services that communicate with each other through APIs.
Microservices are small, independent services that focus on specific business functions.
Each microservice runs its own process and communicates with other services through APIs.
Microservices can be developed, deployed, and scaled independently of each oth...
Skills evaluated in this interview
Jyostna Kamat
Real world evidence case study for Diabetes drug market launch
Systematic literature review
(1 Question)
- Q1. Why Eli Lilly and why this specific role?
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Bangalore / Bengaluru
7-12 Yrs
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