Myntra Data Science Intern Interview Questions and Answers

SQL and Python data analysis questions

Q1. How do you match the data in different columns.
Ans. 
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
• Use string matching techniques like exact match, partial match, or fuzzy matching.

• Apply data cleaning and preprocessing techniques to standardize the data before matching.

• Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.

• Consider using database join...read more
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Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
Ans. 
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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Q1. Basic details about work ex, reason to switch, salary expectations
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2 SQL questions asked

Q1. Basic Excel, Regression, Anova model, CHAID model etc
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Q2. Previous experience
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Q1. SQL joins , previous experience
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Q2. Guesstimate, probability questions
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Q1. They'll ask you to come there office for technical round it would be face to face round. They'll ask sql joins. 2nd highest salary probably & Python question where you need to merge 2 tables & get an outco...read more
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Q1. Excel based questions in , vlookup, xlookup, index , match
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Q2. SQL questions using queries based on concepts like subqueries, CTE & windows functions
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Q3. Scenerio-based question, table 1 & table 2 with 5 & 3 liter if water, assuming the flow of water is unlimited & we need to get 4 liter of it
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Q1. How do you setup a Dark Store?
Ans. 
Setting up a Dark Store involves converting a retail store into a fulfillment center for online orders.
• Select a suitable location for the Dark Store, preferably in a centralized area with good access to transportation.

• Optimize the layout of the store for efficient picking, packing, and shipping of orders.

• Implement inventory management systems to track stock levels accurately and prevent stockouts.

• Train staff on order f...read more
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Q2. How do joins work in the simplest manner?
Ans. 
Joins combine data from two or more tables based on a related column.
• Joins are used to retrieve data from multiple tables based on a related column

• Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
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Q3. Write a basic query explaining the order of execution?
Ans. 
The order of execution in a query determines the sequence in which operations are performed.
• 1. The order of execution in a query typically follows the sequence: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.

• 2. The FROM clause specifies the tables involved in the query.

• 3. The WHERE clause filters the rows based on specified conditions.

• 4. The GROUP BY clause groups the rows that have the same values into summary rows.

• 5...read more
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Q4. Difference between Group By and Distinct?
Ans. 
Group By is used to aggregate data based on a specific column, while Distinct is used to remove duplicate rows from a result set.
• Group By is used with aggregate functions like COUNT, SUM, AVG, etc.

• Distinct is used to retrieve unique values from a column or set of columns.

• Group By can be used to group data based on multiple columns, while Distinct operates on individual columns only.
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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