Call Us Now!
+91 9884412301 | +91 9600112302
info@credosystemz.com
Credo SystemzCredo Systemz
  • Courses
    • TRENDING TECHNOLOGIES TRAINING
    • RPA TRAINING
    • CLOUD COMPUTING TRAINING
    • BIG DATA TRAINING
    • WEB DEVELOPMENT TRAINING
    • MOBILE APPLICATION TRAINING
    • SOFTWARE TESTING TRAINING
    • MICROSOFT TECHNOLOGIES TRAINING
    • JAVA TRAINING
    • PROJECT MANAGEMENT TRAINING
    • DATA WAREHOUSING TRAINING
    • ORACLE TRAINING
    • DATABASE DEVELOPER TRAINING
    • OTHER TRAININGS
    • TRENDING TECHNOLOGIES
      Python Training Data Science Training Angular Training React JS Training ORACLE PRIMAVERA TRAINING Machine Learning Training Hadoop Training Amazon Web Services Training DevOps Training Azure Training PySpark Training MEAN Stack Training
    • RPA TRAINING
      Blue Prism Training UiPath Training Automation Anywhere
    • CLOUD COMPUTING
      Amazon Web Services Training AWS with Devops Training Azure Training AZ 104 Azure Administrator AZ 204 Azure Developer AZ 300 Azure Architect AZ 303 Azure Architect AZ 400 Azure Devops Google Cloud Platform Salesforce Training OpenNebula Training OpenStack Training OpenSpan Training
    • BIG DATA TRAINING
      Hadoop Training Big Data Analytics Training Spark Training
    • WEB DEVELOPMENT
      Angular Training Node JS Training React JS Training React Native Training Ionic Framework Training MEAN Stack Training PHP Training JavaScript Training CoffeeScript Training Less JS Training Graphics Design Training HTML Training CSS Training
    • MOBILE APPLICATION
      Android Training iOS Training iOS Swift Training Kotlin Training Flutter Dart Training
    • SOFTWARE TESTING
      Manual Testing Training UFT / QTP Training Selenium Training API Testing Training Selenium with Python Training Perfecto Mobile Testing Training ETL Testing Training JMeter Training LoadRunner Training Performance Engineering Big Data Testing Training Protractor Testing Training
    • MICROSOFT TECHNOLOGIES
      Dot Net Training MVC Framework ASP.NET MVC with Angular SharePoint Training Advanced Excel Training Excel Macro Training Azure Training Azure Infrastructure Solutions AZ 300 Azure Architect
    • JAVA TRAINING
      Core Java Training Java 8 Training Java J2EE Training Advanced Java Training Hibernate Training Spring Training Struts Training
    • PROJECT MANAGEMENT
      Oracle Primavera Training Primavera P6 Online Training Microsoft Project Training PMP Training ITIL Training Prince2 Training Scrum Master Training Business Analytics Training
    • DATA WAREHOUSING
      Tableau Training Power BI Training Qlikview Training Qlik Sense Training Informatica Training Microstrategy Training Teradata Training Cognos Training SAS Training
    • ORACLE TRAINING
      Oracle PL/SQL Training Oracle DBA Training Oracle Apps Technical Training Oracle Apps SCM Training Oracle Apps HRMS Training Oracle Apps Finance Training Oracle RAC Training PeopleSoft HCM Training PeopleSoft Finance Training
    • DATABASE DEVELOPER
      MongoDB Training Apache Cassandra Training Sybase Training Informix Training Performance Tuning Training
    • OTHER TRAININGS
      Ethical Hacking Training C C++ Training Unix Shell Scripting Training Tensorflow Training Data Modeling Training Workday Training PEGA Training Digital Marketing Training CCNA Training Arduino Training Elm Training Go Programming Training Rust Programming Training CYBER SECURITY TRAINING BIZTALK SERVER TRAINING Spoken English Course
  • Fresher Courses
    • ANGULAR TRAINING
    • REACT TRAINING
    • PYTHON TRAINING
    • JAVA TRAINING
    • SELENIUM TRAINING
  • Placements
    • Career Guidance
      • Interview Questions
      • Resume Building
      • Job Opportunities
    • OVERALL PLACEMENTS
  • About Us
    • Online Training
    • Corporate Training
    • Events
    • Reviews
      • Video Reviews
    • Become an instructor
  • Training
    • Trending Technologies Training
    • RPA TRAINING in Chennai
    • Cloud Computing Training
    • Big Data Hadoop Training in Chennai
    • Web Development Training
    • Mobile Application Training
    • Software Testing Training
    • Microsoft Technologies Training
    • Java Training
    • Project Management Training
    • Data Warehousing Training
    • Oracle Training
    • Database Developer Training
    • Other Training
  • Blogs
    • GENERAL
      • TOP SKILL TO GET A JOB IN MNC
      • INTERVIEW TIPS FOR FRESHERS AND EXPERIENCE
      • TOP TRENDING TECHNOLOGIES
    • DATA SCIENCE
      • MACHINE LEARNING VS DATA SCIENCE
      • DATA SCIENCE INTERVIEW QUESTION AND ANSWER
    • PYTHON
      • WHY LEARN PYTHON
      • JAVA VS PYTHON
      • WHAT IS PYTHON
    • PRIMAVERA
      • LIFECYCLE OF PRIMAVERA
      • EPPM VS PPM
      • PROJECT MANAGEMENT STEPS
    • PMP
      • PMP CERTIFICATION
    • AWS
      • TOP 5 AWS SERVICES
      • AWS VS OPENSTACK
      • AMAZON VS AZURE VS GOOGLE CLOUD
      • WHY DEVELOPERS SHOULD LEARN AWS
    • ANGULAR
      • ANGULAR INTERVIEW QUESTIONS
      • ANGULAR VS REACT VS VUE
    • REACT
      • TOP REASON TO LEARN REACT
    • BLUE PRISM
      • BLUE PRISM VS UI PATH
      • WHAT IS RPA
    • UI PATH
      • RPA CERTIFICATION
    • CLOUD COMPUTING
      • BEST CLOUD COMPUTING SERVICES
    • DEVOPS
      • DEVOPS OVERVIEW
    • NODE JS
      • NODE JS CERTIFICATION
    • HADOOP
      • HADOOP CERTIFICATION
    • AZURE
      • AZURE CERTIFICATION
    • SOFTWARE TESTING
      • HOW TO BECOME A SOFTWARE TESTER
      • MOVE FROM MANUAL TO AUTOMATION TESTING
      • HOW MUCH IS JAVA REQUIRED FOR SELENIUM TESTING
  • Contact Us
  • Courses
    • TRENDING TECHNOLOGIES TRAINING
    • RPA TRAINING
    • CLOUD COMPUTING TRAINING
    • BIG DATA TRAINING
    • WEB DEVELOPMENT TRAINING
    • MOBILE APPLICATION TRAINING
    • SOFTWARE TESTING TRAINING
    • MICROSOFT TECHNOLOGIES TRAINING
    • JAVA TRAINING
    • PROJECT MANAGEMENT TRAINING
    • DATA WAREHOUSING TRAINING
    • ORACLE TRAINING
    • DATABASE DEVELOPER TRAINING
    • OTHER TRAININGS
    • TRENDING TECHNOLOGIES
      Python Training Data Science Training Angular Training React JS Training ORACLE PRIMAVERA TRAINING Machine Learning Training Hadoop Training Amazon Web Services Training DevOps Training Azure Training PySpark Training MEAN Stack Training
    • RPA TRAINING
      Blue Prism Training UiPath Training Automation Anywhere
    • CLOUD COMPUTING
      Amazon Web Services Training AWS with Devops Training Azure Training AZ 104 Azure Administrator AZ 204 Azure Developer AZ 300 Azure Architect AZ 303 Azure Architect AZ 400 Azure Devops Google Cloud Platform Salesforce Training OpenNebula Training OpenStack Training OpenSpan Training
    • BIG DATA TRAINING
      Hadoop Training Big Data Analytics Training Spark Training
    • WEB DEVELOPMENT
      Angular Training Node JS Training React JS Training React Native Training Ionic Framework Training MEAN Stack Training PHP Training JavaScript Training CoffeeScript Training Less JS Training Graphics Design Training HTML Training CSS Training
    • MOBILE APPLICATION
      Android Training iOS Training iOS Swift Training Kotlin Training Flutter Dart Training
    • SOFTWARE TESTING
      Manual Testing Training UFT / QTP Training Selenium Training API Testing Training Selenium with Python Training Perfecto Mobile Testing Training ETL Testing Training JMeter Training LoadRunner Training Performance Engineering Big Data Testing Training Protractor Testing Training
    • MICROSOFT TECHNOLOGIES
      Dot Net Training MVC Framework ASP.NET MVC with Angular SharePoint Training Advanced Excel Training Excel Macro Training Azure Training Azure Infrastructure Solutions AZ 300 Azure Architect
    • JAVA TRAINING
      Core Java Training Java 8 Training Java J2EE Training Advanced Java Training Hibernate Training Spring Training Struts Training
    • PROJECT MANAGEMENT
      Oracle Primavera Training Primavera P6 Online Training Microsoft Project Training PMP Training ITIL Training Prince2 Training Scrum Master Training Business Analytics Training
    • DATA WAREHOUSING
      Tableau Training Power BI Training Qlikview Training Qlik Sense Training Informatica Training Microstrategy Training Teradata Training Cognos Training SAS Training
    • ORACLE TRAINING
      Oracle PL/SQL Training Oracle DBA Training Oracle Apps Technical Training Oracle Apps SCM Training Oracle Apps HRMS Training Oracle Apps Finance Training Oracle RAC Training PeopleSoft HCM Training PeopleSoft Finance Training
    • DATABASE DEVELOPER
      MongoDB Training Apache Cassandra Training Sybase Training Informix Training Performance Tuning Training
    • OTHER TRAININGS
      Ethical Hacking Training C C++ Training Unix Shell Scripting Training Tensorflow Training Data Modeling Training Workday Training PEGA Training Digital Marketing Training CCNA Training Arduino Training Elm Training Go Programming Training Rust Programming Training CYBER SECURITY TRAINING BIZTALK SERVER TRAINING Spoken English Course
  • Fresher Courses
    • ANGULAR TRAINING
    • REACT TRAINING
    • PYTHON TRAINING
    • JAVA TRAINING
    • SELENIUM TRAINING
  • Placements
    • Career Guidance
      • Interview Questions
      • Resume Building
      • Job Opportunities
    • OVERALL PLACEMENTS
  • About Us
    • Online Training
    • Corporate Training
    • Events
    • Reviews
      • Video Reviews
    • Become an instructor
  • Training
    • Trending Technologies Training
    • RPA TRAINING in Chennai
    • Cloud Computing Training
    • Big Data Hadoop Training in Chennai
    • Web Development Training
    • Mobile Application Training
    • Software Testing Training
    • Microsoft Technologies Training
    • Java Training
    • Project Management Training
    • Data Warehousing Training
    • Oracle Training
    • Database Developer Training
    • Other Training
  • Blogs
    • GENERAL
      • TOP SKILL TO GET A JOB IN MNC
      • INTERVIEW TIPS FOR FRESHERS AND EXPERIENCE
      • TOP TRENDING TECHNOLOGIES
    • DATA SCIENCE
      • MACHINE LEARNING VS DATA SCIENCE
      • DATA SCIENCE INTERVIEW QUESTION AND ANSWER
    • PYTHON
      • WHY LEARN PYTHON
      • JAVA VS PYTHON
      • WHAT IS PYTHON
    • PRIMAVERA
      • LIFECYCLE OF PRIMAVERA
      • EPPM VS PPM
      • PROJECT MANAGEMENT STEPS
    • PMP
      • PMP CERTIFICATION
    • AWS
      • TOP 5 AWS SERVICES
      • AWS VS OPENSTACK
      • AMAZON VS AZURE VS GOOGLE CLOUD
      • WHY DEVELOPERS SHOULD LEARN AWS
    • ANGULAR
      • ANGULAR INTERVIEW QUESTIONS
      • ANGULAR VS REACT VS VUE
    • REACT
      • TOP REASON TO LEARN REACT
    • BLUE PRISM
      • BLUE PRISM VS UI PATH
      • WHAT IS RPA
    • UI PATH
      • RPA CERTIFICATION
    • CLOUD COMPUTING
      • BEST CLOUD COMPUTING SERVICES
    • DEVOPS
      • DEVOPS OVERVIEW
    • NODE JS
      • NODE JS CERTIFICATION
    • HADOOP
      • HADOOP CERTIFICATION
    • AZURE
      • AZURE CERTIFICATION
    • SOFTWARE TESTING
      • HOW TO BECOME A SOFTWARE TESTER
      • MOVE FROM MANUAL TO AUTOMATION TESTING
      • HOW MUCH IS JAVA REQUIRED FOR SELENIUM TESTING
  • Contact Us

Uber Data Science Interview Questions

  • Home
  • Uber Data Science Interview Questions

Uber – Data Science Interview Questions

Here is the list Data Science Interview Questions which are recently asked in Uber company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.


1. Will Uber cause city congestion?

Yes. Recent studies show that Uber account for just 1-3 percent of vehicle miles travelled (VMT) in the broader metropolitan areas of each city. But the numbers spike when zooming in on the core county of each city.

2. What are the metrics you will use to track if Uber’s paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?

Tracking the three metrics—CAC, CLTV, and Churn Rate—provides insight into key aspects of the business, including the success of the sales team, pricing strategy, and customer service.

3. Explain principal components analysis with equations.

Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.

4. Explain about the various time series forecasting technqiues.

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.

5. Which machine learning algorithm will you use to solve a Uber driver accepting  request?

Many uber cars on the road send GPS locations every 4 seconds, so to predict traffic the driver's app's GPS location data is used. We can represent the entire road network on a graph to calculate the ETAs. We can use AI simulated algorithms or simple Dijkstra's algorithm to find out the best route in the graph.

6. How will you compare the results of various machine learning algorithms?

  • If you have a new dataset, it is a good idea to visualize the data using different techniques in order to look at the data from different perspectives.
  • The same idea applies to model selection. Use a number of different ways of looking at the estimated accuracy of the machine learning algorithms in order to choose the one or two to finalize.
  • A way to do this is to use different visualization methods to show the average accuracy, variance and other properties of the distribution of model accuracies.

7. What is Data Science?

Data Science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. Statistics, Visualization, Deep Learning, Machine Learning, are important Data Science concepts.

8. Can you name the type of biases that occur in machine learning?

  • Sample Bias.
  • Prejudice Bias.
  • Confirmation Bias.
  • Group attribution Bias.

9. What is boosting?

Boosting is an ensemble modeling technique which attempts to build a strong classifier from the number of weak classifiers. It is done building a model by using weak models in series. Firstly, a model is built from the training data.

10. How would you create a taxonomy to identify key customer trends in unstructured data?

A model does not hold any value if it cannot produce actionable results, an experienced data analyst will have a varying strategy based on the type of data being analysed. Also, any sensitive data of the customer needs to be protected. It is also advisable to consult with the stakeholder to ensure that you are following all the compliance regulations of the organization and disclosure laws, if any.

11. What are the basic assumptions to be made for linear regression?

  • Linear relationship.
  • Multivariate normality.
  • No or little multicollinearity.
  • No auto-correlation.
  • Homoscedasticity.
Free PDF : Get our updated Data Science Course Content pdf

12. How to solve multi-collinearity?

Remove some of the highly correlated independent variables. Linearly combine the independent variables, such as adding them together. Perform an analysis designed for highly correlated variables, such as principal components analysis or partial least squares regression.

13. How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?

It can solve it in two steps. Use k-means to group previous journeys in similar area (relatively small geographical size). Then use the metric which analyses how long it took for a driver to find the client once they arrived to the pick-up location. The locations with smaller ‘search for a customer’ times will be the most appropriate.Additionally the model should be using maps data, which should identify whether it is possible to pick up people at those points or not.

14. If we added one rider to the current SF market, how would that affect the existing riders and drivers?

Yes, it affects the existing riders and drivers causing traffic congestion, pricing, allocation that affect the performance.

15. What are the different performance metrics for evaluating Uber services?

Average revenue per user, number of rides per user per month by Product, number of cancelled rides, Average Length of the ride, Number of returning Users

16. How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?

Surge pricing automatically goes into effect when there are more riders in a given area than available drivers. This encourages more drivers to serve the busy area over time and shifts rider demand, to maintain reliability and restore balance.

17. How will you explain JOIN function in SQL to a 10 year old ?

SQL JOIN. A JOIN clause is used to combine rows from two or more tables, based on a related column between them. Notice that the "CustomerID" column in the "Orders" table refers to the "CustomerID" in the "Customers" table.

18. How can you iterate over a list and also retrieve element indices at the same time?

There is an optional start argument to the enumerate function, which I find very helpful when I need to count from 1 or any other number instead of 0.for index, value in enumerate(numbers, start=1):print 'The value at position', index, 'is', value.

19. How can you assess a good logistic model?

It examines whether the observed proportions of events are similar to the predicted probabilities of occurence in subgroups of the data set using a pearson chi square test. Small values with large p-values indicate a good fit to the data while large values with p-values below 0.05 indicate a poor fit.

20. Are expected value and mean value different?

Mean is defined as the sum of a collection of numbers divided by the number of numbers in the collection. The calculation would be "for i in 1 to n, (sum of x sub i) divided by n." Expected value (EV) is the long-run average value of repetitions of the experiment it represents.

21. What is Interpolation and Extrapolation?

When we predict values that fall within the range of data points taken it is called interpolation. When we predict values for points outside the range of data taken it is called extrapolation.

22. Describe the structure of Artificial Neural Networks?

ANN is made of three layers namely input layer, output layer, and hidden layer/s. There must be a connection from the nodes in the input layer with the nodes in the hidden layer and from each hidden layer node with the nodes of the output layer. The input layer takes the data from the network.

Book a Free Mock Interviews and Test your Data Science skills with our Experts

TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.

TCS
Walmart
IBM
Larsen & Toubro
Mindtree
Microsoft
Amazon
Cognizant
Wipro
Capgemini
HP
Uber
Google
Accenture
Cisco Systems
Black Board

To become a Data Science Certified professional and join in your dream company, Enroll now for our Best Data Science Training. We help you to crack any levels of Data Science Interviews and We offering Data Science Training with Placement Assistance.

other top mnc Data Science Interview Q&A

  • TCS
  • Amazon
  • Uber
  • Walmart
  • Cognizant
  • Google
  • IBM
  • Wipro
  • Accenture
  • Larsen & Toubro
  • Capgemini
  • Cisco Systems
  • Mindtree
  • HP
  • Black Board
  • Microsoft
  •   

INDIA LOCATIONS

New #30,Old #16A,
Rajalakshmi Nagar, Velachery,
Chennai - 600 042.
Mobile: +91 9884412301

Plot No.8, Vinayaga Avenue,
Rajiv Gandhi Salai, Okkiampettai(OMR),
Chennai – 600 097.
Mobile: +91 9600112302

Refund/Cancellation Policy

INTERNATIONAL LOCATIONS

USA
Houchin Drive, Franklin, TN -37064
Tennessee
Email: info@credosystemz.com
Web: www.credosystemz.com
Chat With Us

UAE
Sima Electronic Building,
LLH Opposite,
Electra Street – Abu Dhabi
Email: info@credosystemz.com
Web: www.credosystemz.com
Chat With Us

TRENDING COURSES

  • Python Training in Chennai
  • Data Science Training in Chennai
  • AWS Training in Chennai
  • Big Data Hadoop Training in Chennai
  • Machine Learning Training in Chennai
  • Selenium Training in Chennai
  • Angular Training in Chennai
  • Oracle Primavera P6 Online Training
  • Mean Stack Training in Chennai
  • DevOps Training in Chennai
  • Microsoft Azure Training in Chennai
  • GCP Training in Chennai

Copyright 2022 CREDO SYSTEMZ | All Rights Reserved.