Amazon Development Centre India Senior Data Analyst Interview Questions and Answers

Star based table design
Joins
Median
Lead lag

Q1. Sql question based on window functions
Add your answer

Q1. What is a logistic regression model?
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given input belongs to a particular category.

• The model calculates the odds of the event happening.

• It uses a logistic function to map the input values to ...read more
Answered by AI
Add your answer
Q2. Explain the random forest model.
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
Answered by AI
Add your answer
Q3. Explain decision trees
Ans. 
Decision trees are a popular machine learning algorithm used for classification and regression tasks.
• Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

• They are easy to interpret and visualize, making them popular for exploratory data analysis.

• Decision trees can handle both numerical ...read more
Answered by AI
Add your answer

Q1. How do you see yourself in next 5 years?
Ans. 
In the next 5 years, I see myself growing into a senior data scientist role, leading projects and mentoring junior team members.
• Continuing to enhance my skills in data analysis, machine learning, and programming languages such as Python and R

• Taking on more responsibilities in project management and client interactions

• Working towards becoming a subject matter expert in a specific industry or domain

• Mentoring and guiding ...read more
Answered by AI
Add your answer
Q2. What are you 5 years back.what is the difference?
Ans. 
I was a student pursuing my undergraduate degree in Computer Science.
• 5 years back, I was studying Computer Science in college.

• Now, I have completed my degree and gained experience in data science through internships and projects.

• I have developed strong analytical and programming skills over the past 5 years.

• I have also learned new technologies and tools in the field of data science.

• I have a better understanding of real
Answered by AI
Add your answer

Q1. Explain all of decision tree and random forest?
Ans. 
Decision tree is a tree-like model of decisions and their possible consequences, while random forest is an ensemble learning method that builds multiple decision trees and merges them together.
• Decision tree is a flowchart-like structure where each internal node represents a decision based on an attribute, each branch represents the outcome of the decision, and each leaf node represents a class label.

• Random forest is a ...read more
Answered by AI
Add your answer
Q2. Some basic probability questions
Add your answer

Q1. Projects Worked
Ans. 
I have worked on various projects involving data analysis, visualization, and interpretation.
• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to ensure accuracy

• Created interactive dashboards for stakeholders to easily understand insights
Answered by AI
Add your answer
Q2. SQL functions used in the projects
Ans. 
Common SQL functions used in projects include COUNT, SUM, AVG, MAX, MIN, and GROUP BY.
• COUNT: Used to count the number of rows in a table.

• SUM: Used to calculate the sum of a column.

• AVG: Used to calculate the average value of a column.

• MAX: Used to find the maximum value in a column.

• MIN: Used to find the minimum value in a column.

• GROUP BY: Used to group rows that have the same values into summary rows.
Answered by AI
Add your answer
Q3. Machine learning alogriths
Add your answer

Q1. Basic to Advanced level of SQL
Add your answer
Q2. Discussed 1 -2 Business Cases studies
Add your answer