Uber Data Science Intern Interview Questions and Answers for Freshers

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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Asked to write different SQL queries.
1. Moving average of lf previous 10 days
2. For a data which records in and out time of an employee. How many employees were present in the office at a given time
3. A/B testing vs pre-post testing

1. Had to come up with a method to give a score to each user based on FRM(frequency, recency, monetory)
2. Guesstimate: how many burgers does McD sells in a day

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. Calculate no of rows after join
Ans. 
Calculate the number of rows after joining two datasets.
• Count the number of rows in each dataset

• Perform the join operation

• Count the number of rows in the resulting dataset
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Q2. Split person name in excel
Ans. 
Use Excel's text to columns feature to split person names into separate columns.
• Select the column containing the full names

• Go to the Data tab and click on Text to Columns

• Choose 'Delimited' and select the delimiter that separates the names (e.g. space)

• Click Finish to split the names into separate columns
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Q1. Basic SQL and excel question.
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Q2. Questions about google data studio
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Aptitude test is a way for employers to assess a candidate's abilities through a variety of different testing formats. Aptitude tests will test your ability to perform tasks and react to situations at work. This includes: problem-solving.

Q1. Tell me something about yourself. How did you hear about this position? Why do you want to work here?
Ans. Hi thank you for giving me this opportunity to introduce my self lakshmi r am basically from doddballapur i graduate in b. Com from banglore north university
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Q2. What is your greatest strength? What are your strengths and weaknesses? What do you know about this company/organization?
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Q1. About previous experience situation based questions excel problem solving
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Q2. Tell me about yourself difference between data quality and data validity
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Number sires, clock, logic, arithmetic, geometry

Code test basic, ans the basic knowledge, write code

Q1. What is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

• It emphasizes code readability and uses indentation to define code blocks.

• Python has a large standard library and a vibrant community of developers.

• Example: print('Hello, World!')

• Example: import pandas as pd
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Q2. What is python used for?
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Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.
• Data analysis and visualization

• Web development (Django, Flask)

• Artificial intelligence and machine learning (TensorFlow, PyTorch)

• Automation and scripting

• Scientific computing (NumPy, SciPy)
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Q3. What type of language is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is an interpreted language, meaning it does not need to be compiled before running.

• It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

• Python has a large standard library and a thriving community, making it versatile and widely used.

• Example: Python is used for web develop...read more
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Q4. What is oops in python?
Ans. 
Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.
• OOP allows for the organization of code into reusable components called classes.

• Classes can have attributes (variables) and methods (functions) associated with them.

• In Python, everything is an object, and classes can be defined using the 'class' keyword.

• Encapsulation, inheritance, and polymorph
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Q5. What is array in python?
Ans. 
An array in Python is a data structure that stores a collection of elements of the same type.
• Arrays can store elements such as integers, floats, or strings.

• Arrays are indexed starting from 0, with elements accessed using their index.

• Example: arr = ['apple', 'banana', 'cherry']
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