Marcellus Infotech Data Analyst Interview Questions, Process, and Tips

Q1. Explain difference between joins
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Q2. What is your area of intrest
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It consists of resume-based skill questions.

Q1. Why do you want to join ICICI Bank?
Ans. 
I want to join ICICI Bank because of its strong reputation in the banking industry and the opportunities for growth and development it offers.
• ICICI Bank is one of the leading banks in India with a strong reputation for innovation and customer service

• I am impressed by ICICI Bank's focus on technology and digital banking solutions

• I believe that working at ICICI Bank will provide me with opportunities for career growth an...read more
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Q2. Can you tell me about your projects?
Ans. 
I have worked on projects involving data analysis for marketing campaigns, customer segmentation, and sales forecasting.
• Developed predictive models to optimize marketing strategies

• Utilized clustering techniques for customer segmentation

• Built time series models for sales forecasting
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Q1. What are the different kinds of joins
Ans. 
Different kinds of joins include inner join, outer join, left join, and right join.
• Inner join: Returns only the rows that have matching values in both tables.

• Outer join: Returns all rows when there is a match in one of the tables.

• Left join: Returns all rows from the left table and the matched rows from the right table.

• Right join: Returns all rows from the right table and the matched rows from the left table.
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Q2. What is the difference between columns and measures in power BI
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Columns are the fields in a dataset, while measures are calculations based on those fields in Power BI.
• Columns are the raw data fields in a dataset, such as 'Sales Amount' or 'Product Category'.

• Measures are calculations performed on columns, like sum, average, count, etc.

• Measures are created using DAX (Data Analysis Expressions) in Power BI.

• Columns are used for grouping, filtering, and slicing data, while measures are
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Q3. How can you remove duplicates in sql
Ans. 
Use the DISTINCT keyword in a SELECT statement to remove duplicates in SQL.
• Use the DISTINCT keyword in a SELECT statement to retrieve unique values.

• Example: SELECT DISTINCT column_name FROM table_name;

• Another way is to use the GROUP BY clause to remove duplicates.

• Example: SELECT column_name FROM table_name GROUP BY column_name;
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Q1. Typing and speed
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It was not easy only people can clear who are better in pandas and numpy

Q1. Mostly focus on graphs and dp
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100 questions were asked

Q1. Self introduction Resume checking Common questions regarding role
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Arthimetic,reasoning,Analytical questions

Q1. Machine learning,sql,power bi
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Q1. Sql,case studies
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