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I applied via Referral and was interviewed in Feb 2022. There were 5 interview rounds.
Given time series data of provider, compute hour wise provider wise no of seconds online
Assumptions in Linear Regression
Linear relationship between independent and dependent variables
Homoscedasticity (constant variance) of residuals
Independence of residuals
Normal distribution of residuals
No multicollinearity among independent variables
Overfitting and underfitting are two common problems in machine learning models.
Overfitting occurs when a model is too complex and fits the training data too closely, resulting in poor performance on new data.
Underfitting occurs when a model is too simple and cannot capture the underlying patterns in the data, resulting in poor performance on both training and new data.
Overfitting can be prevented by using regularizati...
To improve the performance of Linear Regression, you can consider feature engineering, regularization, and handling outliers.
Perform feature engineering to create new features that capture important information.
Apply regularization techniques like L1 or L2 regularization to prevent overfitting.
Handle outliers by either removing them or using robust regression techniques.
Check for multicollinearity among the independent...
Metrics used to evaluate Linear Regression
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
R-squared (R²)
Adjusted R-squared (Adj R²)
Mean Absolute Error (MAE)
Residual Sum of Squares (RSS)
Akaike Information Criterion (AIC)
Bayesian Information Criterion (BIC)
Cost function measures the difference between predicted and actual values. Error function measures the average of cost function.
Cost function is used to evaluate the performance of a machine learning model.
It measures the difference between predicted and actual values.
Error function is the average of cost function over the entire dataset.
It is used to optimize the parameters of the model.
Examples of cost functions are ...
Overfitting in Linear Regression can be handled by using regularization techniques.
Regularization techniques like Ridge regression and Lasso regression can help in reducing overfitting.
Cross-validation can be used to find the optimal regularization parameter.
Feature selection and dimensionality reduction techniques can also help in reducing overfitting.
Collecting more data can help in reducing overfitting by providing
Least Squares Method and Maximum Likelihood are both used to estimate parameters, but differ in their approach.
Least Squares Method minimizes the sum of squared errors between the observed and predicted values.
Maximum Likelihood estimates the parameters that maximize the likelihood of observing the given data.
Least Squares Method assumes that the errors are normally distributed and independent.
Maximum Likelihood does n...
Logistic Regression formula is used to model the probability of a certain event occurring.
The formula is: P(Y=1) = e^(b0 + b1*X1 + b2*X2 + ... + bn*Xn) / (1 + e^(b0 + b1*X1 + b2*X2 + ... + bn*Xn))
Y is the dependent variable and X1, X2, ..., Xn are the independent variables
b0, b1, b2, ..., bn are the coefficients that need to be estimated
The formula is used to predict the probability of a binary outcome, such as whether...
Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.
Type I error is also known as a false positive
Type II error is also known as a false negative
Type I error occurs when the significance level is set too high
Type II error occurs when the significance level is set too low
Examples: Type I error - Convicting an innocent person, Type II error - Failing to convi...
Metrics used to evaluate classification models
Accuracy
Precision
Recall
F1 Score
ROC Curve
Confusion Matrix
Overfitting in decision trees can be handled by pruning, reducing tree depth, increasing dataset size, and using ensemble methods.
Prune the tree to remove unnecessary branches
Reduce tree depth to prevent overfitting
Increase dataset size to improve model generalization
Use ensemble methods like Random Forest to reduce overfitting
Underfitting can be handled by increasing tree depth, adding more features, and reducing regu...
Case Study - How do you improve user engagement of Facebook?
Guesstimates - How many people watched the Squid Game series on Netflix
How do you reduce partner churn in UC?
I applied via Approached by Company and was interviewed in Dec 2024. There were 4 interview rounds.
The test consists of 60 questions to be answered in 50 minutes, primarily focusing on basic aptitude, and does not require any preparation.
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Urban Company interview questions for popular designations
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Get interview-ready with Top Urban Company Interview Questions
Smart phones sold in India are diverse, ranging from budget-friendly options to high-end models with advanced features.
Various brands like Samsung, Xiaomi, OnePlus, Apple, and Vivo have a strong presence in the Indian market.
Indian consumers often prioritize features like camera quality, battery life, and value for money when choosing a smart phone.
Online sales platforms like Amazon and Flipkart play a significant role
I applied via Campus Placement and was interviewed in Jul 2024. There were 4 interview rounds.
It was a coding round where i need to solve 3 DSA Questions in 1.5 hour
The number of airplanes flying through an airport can vary depending on the size of the airport, time of day, and season.
Consider the size and capacity of the airport - larger airports will have more flights
Take into account the time of day - peak travel times will have more flights
Seasonal variations can also impact the number of flights - holidays and summer months may see more traffic
The number of EVMs required for an election depends on the number of polling stations and voters.
Calculate the number of polling stations in the election area
Estimate the average number of voters per polling station
Multiply the number of polling stations by the average number of voters to get the total number of EVMs needed
Consider factors like backup EVMs and contingency plans
I was interviewed in Jan 2025.
Yesterday, I handled customer inquiries, resolved issues, and provided support via phone and email.
Handled customer inquiries
Resolved customer issues
Provided support via phone and email
Urban Company is a technology platform that connects customers with service professionals for various home services.
Urban Company offers services like beauty and wellness, home repairs, cleaning, and more
Customers can book services through the Urban Company app or website
Service professionals are background checked and trained to ensure quality service
Urban Company operates in multiple cities across India and other cou
I have been working on improving my communication skills and learning about new customer care techniques.
Attending online communication workshops
Practicing active listening during customer interactions
Reading articles on customer service best practices
Our company is a leading provider of customer care solutions in the telecommunications industry.
Specializes in providing customer care solutions for telecommunications companies
Known for excellent customer service and quick problem resolution
Offers a range of services such as technical support, billing inquiries, and account management
Questions were crayon box ,the bot and the game and happy neighbourhood for 90 mins
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The duration of Urban Company interview process can vary, but typically it takes about less than 2 weeks to complete.
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