MakeMyTrip Data Analyst Interview Questions and Answers

Q1. Explain Moving Average
Ans. 
Moving Average is a statistical technique used to analyze data points by creating a series of averages of different subsets of the full data set.
• Moving Average helps in smoothing out fluctuations in data to identify trends over time.

• It is calculated by taking the average of a specific number of data points within a defined window.

• For example, a 3-day moving average for stock prices would be the average of the stock pri...read more
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Q2. Explain Decorators
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Decorators in Python are functions that modify the behavior of other functions.
• Decorators are denoted by the @ symbol followed by the decorator function name.

• They allow you to add functionality to an existing function without modifying its code.

• Common use cases include logging, timing, and authentication.

• Example: @decorator_function def function_to_decorate(): pass
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Q3. Explain Object Oriented Programming
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Object Oriented Programming is a programming paradigm based on the concept of objects, which can contain data and code.
• OOP focuses on creating objects that interact with each other to solve complex problems.

• Objects have attributes (data) and methods (functions) that can manipulate the data.

• Encapsulation, inheritance, and polymorphism are key principles of OOP.

• Example: In a car simulation program, a 'Car' object can hav...read more
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Q4. Explain classes objects
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Classes are blueprints for creating objects in object-oriented programming.
• Classes define the properties and behaviors of objects

• Objects are instances of classes

• Classes can inherit properties and behaviors from other classes

• Classes can have constructors to initialize objects

• Classes can have methods to perform actions
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Q5. Explain Functions
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Functions are blocks of code that perform a specific task and can be reused multiple times in a program.
• Functions help in organizing code and making it more modular.

• They can take input parameters and return output values.

• Functions can be called multiple times from different parts of the program.

• Examples: summing two numbers, finding the maximum value in a list.
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Q6. Pandas and Numpy
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Q7. Swap L1 and L5 in a list
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Swap L1 and L5 in a list
• Create a temporary variable to store the value of L1

• Assign the value of L5 to L1

• Assign the value of the temporary variable to L5
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Assignment contained multiple set of questions - python, data science, sql, statistics, data literacy , visualization . Test went on for 1 hour and results were given immediately.

It was a good test. Although I scored 65% , and did not make it, but still had a good experience.

Suggestion - prepare for timebound , basic problem solving.

Duration - 1hr, Mostly questions are from Excel and SQL ( But a little knowledge of R and Python is very useful) .For me, it's knowing the concepts and answering no codes were ask to write.

Q1. Basic 1-on-1 round with your manager/ or any senior from the company
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Q1. They will ask about your profile and past experience.
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Q1. A peer level colleague will ask some basic knowledge check questions
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This is literally a live coding test. For analytics expect SQL, python, R.

Q1. Interviewed by a manager of another team
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Q1. Interviewed by dotted line reporting manager
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Q1. Cross functional interview
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Q1. Core Values Interview
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Q1. How to sort ararat
Ans. 
Ararat can be sorted alphabetically or numerically.
• Sort alphabetically: Arrange in ascending order based on the letters in the word.

• Sort numerically: Arrange in ascending order based on the numerical value of each character.
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