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I applied via LinkedIn and was interviewed before Jan 2024. There was 1 interview round.
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I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
5 dsa questions and 5 aptitude questions given. DSA were of medium to hard based on dp
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.
I was interviewed in Dec 2021.
Round duration - 60 minutes
Round difficulty - Easy
Timing: 8:00-9:00 PM
There was 1 MCQ and 3 SQL queries. The platform was easy to use and navigate.
A table containing the details of all the drivers, and another table containing the details of trips is provided. Query the name of drivers that have taken at least 1 trip.
Step 1 : I performed inner join on the 2 tables on the driver_id key.
Step 2 : Then I selected the distinct driver_name 's from the joined table.
Step 3 : This query was satisfying all the 5 test cases.
A table containing the details of all the drivers, and another table containing the details of trips is provided. Query the name and number of trips taken by each driver which has rating more t...
Step 1 : I performed inner join on the 2 tables on the driver_id key.
Step 2 : Then I performed group by on the driver_id, and selected the name and COUNT(trip_id). I filtered out the trips with rating less than 4 by using "WHERE trip_rating>4".
Step 3 : This query was satisfying all the 5 test cases.
A table containing the details of Uber employees were provided. I had to query the maximum number of employees that worked in the company during each employee's tenure.
I did not have enough time to think about this question, and could not solve it. I submitted a blank response for this question.
Round duration - 30 minutes
Round difficulty - Medium
Timing: 11 AM-11:30 AM
The interviewer was very kind and helpful. He helped me by giving hints whenever I was stuck.
User table containing user_id, ph_no, email_id, signup_city, banned, role, timestamp and trips table containing trip_id, client_id, driver_id, city_id, product_id, request_at, status={completed...
Step 1 : Get the month and year from the request_at variable which is in timestamp format.
Step 2 : Select COUNT(trip_id) to get the number of trips
Step 3 : Put the WHERE condition to get only the trips of January 2021.
User table containing user_id, ph_no, email_id, signup_city, banned, role, timestamp and trips table containing trip_id, client_id, driver_id, city_id, product_id, request_at, status={completed...
Step 1 : Join the 2 tables on trips.client_id=User.user_id
Step 2 : Select COUNT(DISTINCT trip_id) to get the number of trips
Step 3 : Put the WHERE condition to get only the trips where user has role='RIDER'.
User table containing user_id, ph_no, email_id, signup_city, banned, role, timestamp and trips table containing trip_id, client_id, driver_id, city_id, product_id, request_at, status={completed...
Step 1 : Join the 2 tables on trips.client_id=User.user_id
Step 2 : Use CASE WHEN statement to get 0 and 1 for successful and unsuccessful trips respectively.
Step 3 : Take ratio of unsuccessful trip by total trips to get the proportion of unsuccessful trips.
Step 4 : Get the month and year from the request_at variable which is in timestamp format.
Step 5 : Put the WHERE condition to get only the trips of January 2021.
Round duration - 30 minutes
Round difficulty - Medium
Timing: 12:15 PM to 12:45 PM.
The interviewer was very helpful and friendly. He was more interested in my approach rather than the final answer.
In a bank, suppose there are 5 counters. Which approach mentioned below is better?
1) The new customer goes to whichever counter has a smaller queue
2) Each counter has a specific purpose (e.g...
Tip 1 : Clarify the question properly if you have any doubts
Tip 2 : Try to think of out of the box solutions
What new feature would you like to add in Uber?
Tip 1 : Creativity has no limit in such questions
Tip 2 : Suggest any of the dreams that you would like to see in your dream company
Tip 3 : I suggested ideas such as Uber Ambulance, Uber Flights, etc
Round duration - 30 minutes
Round difficulty - Hard
Timing: 3:00PM to 3:30PM
This was Hiring Manager round. He asked me case study type of questions.
How would you predict which user is likely to churn in the next 1 month? What variables would you consider for this?
Tip 1 : Thoroughly understand the question
Tip 2 : Ask questions about the existing approach that is used by the company
Tip 3 : Try to answer from a technical, as well as business point of view.
Tip 1 : Practice SQL and python coding questions using online coding platforms.
Tip 2 : Get in-depth theoretical knowledge about all the machine learning algorithms.
Tip 3 : Strengthen your statistics understanding.
Tip 1 : Highlight your skills properly
Tip 2 : Have thorough understanding about everything written in the resume
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...
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
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
TFIDF is a technique to quantify the importance of a word in a document. CNN is a deep learning algorithm commonly used for image recognition.
TFIDF stands for Term Frequency-Inverse Document Frequency and is used to evaluate the importance of a word in a document relative to a collection of documents.
TFIDF is calculated by multiplying the term frequency (number of times a word appears in a document) by the inverse docu...
Window functions in MySQL and pandas are used for performing calculations across a set of rows related to the current row.
In MySQL, window functions can be used with OVER() clause to perform calculations like ranking, cumulative sum, moving average, etc.
In pandas, window functions can be applied using the rolling() and expanding() methods to calculate statistics over a specified window of rows.
Example: In MySQL, to cal...
I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.
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