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Describe an aspect of your role you learned at your former job that you feel will be beneficial to your future role at SAP
Data Science
SAP
null
null
null
Describe any hurdles you have overcome while working with supervised machine learning, and how did you overcome them?
Data Science
Chime
null
null
null
Describe Apache Spark and how it is different from Hadoops MapReduce.
Data Engineer
Capital One
null
null
null
Describe batch gradient descent, stochastic gradient descent, and mini-batch gradient descent.
Machine Learning
null
null
null
null
Describe both generative and discriminative models and give an example of each?
Machine Learning
Robinhood
null
null
null
Describe circumstances that require a list, tuple or set in Python.
Data Science
Goldman Sachs
null
null
null
Describe Conditional Probability and Provide an Example.
Data Analytics
Mastercard
null
null
null
Describe Different Regularization Methods, Such as L1 and L2 Regularization?
Machine Learning
null
null
null
null
Describe dimensionality reduction and its advantages.
Data Science
Stripe
null
null
null
Describe dimensionality reduction and its advantages.
Data Science
Block
null
null
null
Describe entropy in the context of machine learning, and show mathematically how to maximize it assuming N states.
Machine Learning
Robinhood
null
null
null
Describe gradient descent and its role in optimizing machine learning models.
Machine Learning
null
null
null
null
Describe gradient descent and the motivations behind stochastic gradient descent?
Machine Learning
Robinhood
null
null
null
Describe Hadoop streaming.
Data Engineer
Morgan Stanley
null
null
null
Describe hashing and also give an example of when you should use it.
Data Science
Glider
2,023
null
null
Describe how a recurrent neural network works.
Data Science
PayPal
null
null
null
Describe how Python’s with statement works and provide an example of its usage.
Python
null
null
No
No
Describe how XGBoost differs from Random Forest algorithms and provide an instance where you would prefer one over the other.
Data Engineer
JPMorgan Chase
null
null
null
Describe how you align with JD?
Data Analytics
Wells Fargo
null
null
null
Describe how you ensure that your data is accurate and reliable.
Data Science
Stripe
null
null
null
Describe how you would analyse user behaviour data to spot trends or anomalies.
Data Science
PayPal
null
null
null
Describe how you would analyze churn rates for different subscription plans, identifying factors contributing to churn and areas for improvement.
Data Analytics
Stripe
null
null
pe
Describe how you would sort floating numbers between 0 and 1 in low memory conditions with only 4GB available but the file being 32GB.
Data Science
JPMorgan Chase
null
null
null
Describe how you would use data analytics to track and analyze the impact of a hypothetical data breach on Stripes customer base and identify areas for mitigation.
Data Analytics
Stripe
null
null
pe
describe how you would use machine learning to optimize amazon's supply chain management, ensuring timely delivery and minimizing costs.
Data Science
AWS
null
null
null
Describe Hypothesis Testing. How is the statistical significance of an insight assessed?
Data Science
null
null
null
null
Describe internship and research projects
Data Engineer
Shell
2,023
null
null
Describe LEFT JOIN and the difference between LEFT JOIN and INNER JOIN.
SQL
null
null
null
null
describe linear regression vs. logistic regression
Machine Learning
AWS
null
null
null
Describe NameNode.
Data Engineer
Morgan Stanley
null
null
null
Describe one of your most successful projects.
Data Analytics
Glider
2,022
null
null
Describe one time where you took a leadership position in a group project?
Data Analytics
Goldman Sachs
null
null
null
describe prior projects/datasets that you worked with
Data Science
IBM
null
null
null
Describe probabilistic graphical model?
Machine Learning
Glider
2,023
null
null
Describe random forests and their advantages over single-decision trees.
Machine Learning
null
null
null
null
Describe regression to an executive with no background in statistics.
Data Science
Chime
null
null
null
Describe reinforcement learning and root cause analysis.
Data Science
Stripe
null
null
null
Describe reinforcement learning and root cause analysis.
Data Science
Block
null
null
null
Describe something in statistics you recently learnt and like
Data Science
JPMorgan Chase
null
null
null
Describe teamwork experience with different bgs
Data Science
JPMorgan Chase
null
null
null
Describe technical debt.
Data Science
Glider
2,023
null
null
Describe the architecture of the Transformer model.
Machine Learning
null
null
null
null
Describe the Bernoulli distribution.
Machine Learning
null
null
null
null
Describe the chi-squared distribution.
Machine Learning
null
null
null
null
Describe the components of Microsoft's self-service BI solution.
Data Analytics
null
null
null
null
Describe the concept of a database transaction. Why is it important to maintain data integrity?
SQL
null
null
null
null
Describe the concept of conditional probability density function (PDF).
Machine Learning
null
null
null
null
Describe the concept of hypothesis testing and when it is used?
Data Science
American Express
null
null
null
Describe the Cost function in logistic regression.
Data Analytics
Morgan Stanley
null
null
null
Describe the data types in SQL.
SQL
null
null
null
null
Describe the Difference Between Correlation and Autocorrelation
Data Science
null
null
null
null
Describe the difference between leading indicators and lagging indicators in the context of product metrics. Describe the indicators in the context of product metrics associated with Stripe.
Data Science
Stripe
null
null
null
Describe the difference between WHERE and HAVING in SQL.
SQL
null
null
null
null
Describe the different regularization techniques used to prevent overfitting in machine learning.
Machine Learning
JPMorgan Chase
null
null
null
Describe the idea behind boosting. Give an example of one method and describe one advantage and disadvantage it has?
Machine Learning
Robinhood
null
null
null
Describe the idea behind PCA and go through its formulation and derivation in matrix form. Go through the procedural description and solve the constrained maximization.
Machine Learning
Robinhood
null
null
null
describe the importance of oracle roles in managing access control.
Data Analytics
Oracle
null
null
null
Describe the information that needs to be output for each sell transaction.
Data Science
Robinhood
null
null
null
Describe the JOIN types.
SQL
null
null
null
null
Describe the model formulation behind logistic regression and how to maximize the log-likelihood of a given model (using the two-class case).
Machine Learning
Robinhood
null
null
null
Describe the Model-View-Controller (MVC) architecture.
Python
null
null
No
No
Describe the Poisson distribution and its characteristics.
Machine Learning
null
null
null
null
Describe the process of database mirroring.
SQL
null
null
null
null
describe the process of designing a statistical model to predict product demand for amazon's inventory management system. what factors would you consider, and how would you validate the model?
Data Science
AWS
null
null
null
Describe the process of hypothesis testing, including null and alternative hypotheses.
Machine Learning
null
null
null
null
Describe the process triggered by the Block Scanner upon identifying a corrupted data block in detail.
Data Engineer
Capital One
null
null
null
Describe the Python Functions?
Python
null
null
No
No
Describe the SELECT statement.
SQL
null
null
null
null
Describe the setup algorithmically with formulas for Expectation-Maximization.
Machine Learning
Robinhood
null
null
null
Describe the setup and assumptions of using linear discriminant analysis (LDA).
Machine Learning
Robinhood
null
null
null
Describe the significance of data locality in Hadoop and its impact on performance.
Data Engineer
JPMorgan Chase
null
null
null
describe the significance of the oracle redo log.
Data Analytics
Oracle
null
null
null
Describe the Star Schema.
Data Engineer
Morgan Stanley
null
null
null
Describe the Star Schema.
Data Analytics
Morgan Stanley
null
null
null
Describe the Support Vector Machine (SVM) Algorithm.
Data Analytics
Mastercard
null
null
null
Describe the use of Markov models in sequential data analysis?
Machine Learning
null
null
null
null
describe to me how pca works.
Data Science
Google
null
null
null
Describe Type I and Type II errors in hypothesis testing.
Data Science
null
null
null
null
Describe univariate, bivariate, and multivariate analysis.
Data Analytics
null
null
null
null
describe univariate, bivariate, and multivariate analysis.
Data Analytics
Oracle
null
null
null
Describe univariate, bivariate, and multivariate analysis.
Data Analytics
Pico MES
null
null
null
Describe various machine learning terms.
Data Science
JPMorgan Chase
null
null
null
Describe your experience with Agile delivery methods, such as Scrum or Kanban.
Data Engineer
Shell
null
null
null
Describe your experience with Agile methodology in data engineering teams.
Data Engineer
Visa
null
null
null
Describe your experience with data compliance regulations (e.g., GDPR, CCPA) and their impact on data engineering practices.
Data Engineer
Robinhood
null
null
null
describe your experience with data structures and algorithms.
Data Analytics
Nvidia
null
null
null
Describe your experience with databases like Oracle, SQL, PostgreSQL, or DynamoDB.
Data Engineer
Shell
null
null
null
Describe your experience with ETL (Extract, Transform, Load) tools and frameworks.
Data Engineer
Robinhood
null
null
null
Describe your experience with problem-solving.
Data Analytics
PayPal
null
null
pe
Describe your experience with relational databases like MySQL or PostgreSQL.
Data Engineer
Robinhood
null
null
null
Describe your experience with SQL and database querying. How do you optimize queries for performance when working with large datasets?
Data Analytics
Coinbase
null
null
null
Describe your Favorite ML Project ?
Data Science
PayPal
null
null
null
Describe your general process of building a classification model.
Data Science
Morgan Stanley
null
null
null
Describe your knowledge of data modeling principles and your ability to design a schema that captures all necessary data points for analytics.
Data Engineer
Capital One
null
null
null
Describe your previous experiences in a similar role.
Data Analytics
JPMorgan Chase
null
null
null
Describe your process for presenting complex data analysis findings to non-technical stakeholders. How do you ensure clarity and relevance in your presentations?
Data Analytics
Coinbase
null
null
null
Describe your process for presenting complex data analysis findings to non-technical stakeholders. How do you ensure clarity and relevance in your presentations?
Machine Learning
Coinbase
null
null
null
Describe your projects?
Machine Learning
Wells Fargo
null
null
null
Describe your work style and how you like to approach tasks?
Machine Learning
Capital One
null
null
null
Describe yourself as a person.
All
Mastercard
null
null
pe