Myntra Data Science Intern Interview Questions and Answers for Freshers

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. Peevious Experience related questions
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Q2. Dashboard related questions
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Q3. Sql related questions
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Q1. Project Related Questions
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Q2. Dashboard Question on charts
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It contains basic quantitive questions

SQL and Python coding questions were asked

Q1. What and what not to be shown in dashboard?
Ans. 
Dashboards should show relevant and actionable data while avoiding clutter and unnecessary information.
• Include key performance indicators (KPIs) that align with business goals

• Avoid showing too much data that may overwhelm the viewer

• Use visualizations that effectively communicate insights

• Exclude irrelevant or outdated information

• Consider the audience and their specific needs when designing the dashboard
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Q2. Logical Question
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I was asked a medium-level SQL question that involved the RANK function.

Q1. SQL related questions like joins
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Q2. Types of join in sql
Ans. 
Types of join in SQL include inner join, left join, right join, and full outer join.
• Inner join returns only the matching records from both tables.

• Left join returns all records from the left table and the matching records from the right table.

• Right join returns all records from the right table and the matching records from the left table.

• Full outer join returns all records when there is a match in either the left or rig
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Q3. Practical use of left join
Ans. 
A left join is used to combine data from two tables based on a common column, including all records from the left table.
• Left join returns all rows from the left table and the matching rows from the right table.

• It is useful when you want to retrieve all records from the left table, even if there are no matches in the right table.

• The result of a left join will have NULL values in the columns from the right table where th...read more
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Q4. Number of rows after applying certain join operations
Ans. 
The number of rows after applying join operations depends on the type of join used and the data in the tables being joined.
• Inner join retains only the rows that have matching values in both tables

• Left join retains all rows from the left table and the matched rows from the right table

• Right join retains all rows from the right table and the matched rows from the left table

• Full outer join retains all rows when there is a
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Q5. Difference between vlookup in excel and some function in sql
Ans. 
VLOOKUP in Excel is used to search for a value in a table and return a corresponding value, while SQL functions like JOIN and WHERE are used to retrieve data from multiple tables based on specified conditions.
• VLOOKUP is specific to Excel and works on a single table, while SQL functions can work on multiple tables.

• VLOOKUP requires the table to be sorted in ascending order, while SQL functions do not have this requiremen...read more
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Simple SQL & Excel test

Q1. Will Face hiring Manager
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