Anzy Careers Data Analyst Interview Questions and Answers

Q1. Previously experience
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Q2. How my experience would be valuable in this new role
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Python,Sql ,multiple choice

Q1. Tell me about yourself
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Coding round on hackerank

Duation 1 hr and test difficulty medium

Q1. What is clt in statistics
Ans. 
CLT stands for Central Limit Theorem in statistics.
• CLT states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

• It is a fundamental concept in statistics and is used to make inferences about population parameters.

• CLT is important in hypothesis testing, confidence intervals, and regression analysis.

• For example, if you take multiple samples of the same size fr...read more
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Q2. Explain about transformer architecture
Ans. 
Transformer architecture is a type of neural network architecture commonly used in natural language processing tasks.
• Consists of encoder and decoder layers

• Self-attention mechanism allows for capturing long-range dependencies

• Introduced in the paper 'Attention is All You Need' by Vaswani et al.

• Used in models like BERT, GPT-3, and Transformer-XL
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Q1. Explain about the recent projects that you've done
Ans. 
I have recently worked on a project analyzing customer behavior using machine learning algorithms.
• Utilized clustering algorithms to segment customers based on their purchasing behavior

• Implemented predictive models to forecast customer churn and recommend personalized marketing strategies

• Performed feature engineering to extract meaningful insights from customer data
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Q2. Given a scenario to set up a rag system how would you do it?
Ans. 
Setting up a RAG system involves defining criteria for red, amber, and green statuses to track progress or performance.
• Define clear criteria for red, amber, and green statuses based on key metrics or thresholds.

• Establish a method for regularly monitoring and updating the status of each item or project.

• Communicate the RAG system and its criteria to all stakeholders to ensure understanding and consistency.

• Use visual indi...read more
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You've assigned a task to develop a project. How would you do it?

Q1. What is p value
Ans. 
The p value is a measure used in hypothesis testing to determine the significance of the results.
• The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A p value of less than 0.05 is typically considered statistically significant.

• A p value greater than 0.05 suggests that the results are not statistically significant.

• Researchers use p values to determ...read more
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Q2. Calculate probability of unfair coin tossed n times and do hypothesis testing
Ans. 
Calculate probability of unfair coin tossed n times and do hypothesis testing
• Calculate the theoretical probability of getting heads or tails for the unfair coin

• Perform the actual coin toss n times and record the outcomes

• Use hypothesis testing to determine if the coin is unfair based on the observed outcomes
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Q1. What is bagging and boosting?
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model c...read more
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Q2. Question on graphs
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Q1. 2 sets of SQL questions
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Q2. 1 python question
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Q1. Given Json Data convert it into Pandas Dataframe with required columns .
Ans. 
Convert Json Data to Pandas Dataframe
• Use the pandas library to import the json data

• Use the pandas.DataFrame() function to convert the json data into a dataframe

• Specify the required columns in the dataframe
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Q1. About previous work project.
Ans. If you are preparing for data engineer role at foundit then make sure you are not lying at at your previous job because they will easily find it if you are lying in your resume.
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Q2. ETL process and Azure ecosystem quetions.
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