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Uber Data Analyst Intern Interview Questions and Answers
Uber Data Analyst Intern Interview Experiences
1 interview found
Anonymous
I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed in Aug 2023. There were 3 interview rounds.
Aptitude Test had questions on sql, analytic ques, case study ques on uber
(5 Questions)
- Q1. What are Sql joins, window functions
- Ans.
SQL joins are used to combine rows from two or more tables based on a related column between them. Window functions perform calculations across a set of table rows that are related to the current row.
SQL joins are used to retrieve data from multiple tables based on a related column between them (e.g. INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN).
Window functions are used to perform calculations on a set of rows related...
- Q2. Write sql queries
- Ans.
Answering SQL queries in an interview for Data Analyst Intern position
Understand the database schema and tables involved
Use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY clauses
Practice writing queries for common data analysis tasks like filtering, aggregating, and joining tables
- Q3. Given 5L and 3L jar. How will you make it 4L (Logical thinking)
- Q4. Questions on resume projects
- Q5. Questions on excel functions
Here they given three case study questions of uber where they would like to check you analytic behavior, they want to know how would you use the data to solve such a problem.
Interview Preparation Tips
- SQL
- MySQL
- Excel
Skills evaluated in this interview
Interview questions from similar companies
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2023. There were 2 interview rounds.
The first round was a 45 min long aptitude and case study round which involved basic aptitude questions along with certain cases like "There has been a drop off in customers booking a hotel though the the total number of visits to the site has not dropped. How would you you design a system to analyze the problem and what kind of data will you collect." It was followed by a couple of HR questions
A mock data set of hotel bookings in different countries for last two years were given a week prior to the interview. We were to clean, prepare, derive insights and recommend actions. All of this needed to be documented as 15 page presentation. This presentation then needed to be presented in a 45 min meet.
Interview Preparation Tips
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. SQL and pandas coding
- Q2. Resume projects deep dive
Interview Preparation Tips
(2 Questions)
- Q1. Tell me about your projects?
- Q2. How do you approach the project if you are using logistic regression model?
- Ans.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
(2 Questions)
- Q1. What are you future goals?
- Q2. What would you do if your interested field doesnt have any work in the company?
- Ans.
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Skills evaluated in this interview
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
SQL - shared question on the screen and asked to code in SQL
(1 Question)
- Q1. Nth highes salary
I applied via LinkedIn and was interviewed before Jun 2023. There was 1 interview round.
SQL test on hackerrank
Interview Preparation Tips
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2023. There were 2 interview rounds.
The first round was a 45 min long aptitude and case study round which involved basic aptitude questions along with certain cases like "There has been a drop off in customers booking a hotel though the the total number of visits to the site has not dropped. How would you you design a system to analyze the problem and what kind of data will you collect." It was followed by a couple of HR questions
A mock data set of hotel bookings in different countries for last two years were given a week prior to the interview. We were to clean, prepare, derive insights and recommend actions. All of this needed to be documented as 15 page presentation. This presentation then needed to be presented in a 45 min meet.
Interview Preparation Tips
Basic DSA questions will be asked Leetcode Easy to medium
(2 Questions)
- Q1. BERT vs LSTM and their speed
- Ans.
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
- Q2. What is multinomial Naive Bayes theorem
- Ans.
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed before Dec 2023. There were 3 interview rounds.
Categories of the CAT exam include Quantitative Aptitude, Verbal Ability, Data Interpretation and Logical Reasoning, and Graphical questions.
Medium level. Focus on SQL subqueries application.
(2 Questions)
- Q1. Statistical questions related to different hypothesis testing
- Q2. Questions related to different machine learning model
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