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How do you approach image segmentation, and what are some applications?
|
Machine Learning
| null | null | null | null |
A Box has 12 Red Cards and 12 Black Cards. Another Box has 24 Red Cards and 24 Black Cards. You Want to Draw Two Cards at Random From One of the Two Boxes, One Card at a Time. Which Box has a Higher Probability of Getting Cards of the Same Color and Why?
|
Data Analytics
| null | null | null | null |
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
|
Data Science
|
Goldman Sachs
| null | null | null |
A business user asks you to add a data element to the reporting output that you know provides no value and will slow down performance. What would you do?
|
Data Engineer
|
JPMorgan Chase
| null | null |
pe
|
A co-worker constantly arrives late to a weekly scheduled meeting. What would you do?
|
Data Science
|
Chime
| null | null | null |
a combination of multiple algorithms or an ensemble method may be more effective than using a single algorithm. how do you fine-tune a pre-trained model using amazon sagemaker?
|
Machine Learning
|
AWS
| null | null | null |
A company has three salespeople. All these three salespeople are traveling, hopping from one town to another to sell a product. They are not traveling together. Based on their experience of selling the product, they are providing feedback to the company. The company also tracks each of the salesperson's journey paths and feedback over time. Which map will best fit this scenario?
|
Data Analytics
| null | null | null | null |
A developer intends to build a "subset of data" like "Top 10 customers by sales." It's possible to filter other sheets using this subset of data. In such a situation, which visualization method should be applied?
|
Data Analytics
| null | null | null | null |
A Diet Pill Is Given to 9 Subjects Over Six Weeks. The Average Difference in Weight (Follow Up Baseline) Is -2 Pounds. What Would the Standard Deviation of the Difference in Weight Have to Be for the Upper Endpoint of the 95 Percent T-Confidence Interval to Touch 0?
|
Data Science
| null | null | null | null |
A fraud detection ML use case. How would you design a model? What models would you use?
|
Machine Learning
|
Chime
| null | null | null |
A Geiger Counter Records 100 Radioactive Decays in 5 Minutes. Find an Approximate 95 Percent Interval for the Number of Decays Per Hour.
|
Data Analytics
| null | null | null | null |
A model's performance can be evaluated by calculating its AUC. Would you be able to tell me how to calculate AUC for a model?
|
Machine Learning
|
Coinbase
| null | null | null |
A Random Variable X Is Normal With Mean 1020 and a Standard Deviation 50. Calculate P(X>1200).
|
Data Analytics
| null | null | null | null |
A regression analysis between apples (y) and oranges (x) resulted in the following least-squares line: y = 100 + 2x. What is the implication if oranges are increased by 1?
|
Data Science
| null | null | null | null |
A regression analysis between apples (y) and oranges (x) resulted in the following least-squares line: y = 100 + 2x. What is the implication if oranges are increased by 1?
|
Machine Learning
| null | null | null | null |
a team wants to a/b test multiple different changes through a sign-up funnel. they want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through. how would you set up this test?
|
Data Science
|
IBM
| null | null | null |
Abbreviate LOD Expression. Why do we use LOD Expressions?
|
Data Analytics
| null | null | null | null |
abc inc. business losses last weeks data due to system failure, the business owner doesnt want to lose the anything for business. normally, dba takes daily backup on end of day. you are the dba of abc inc.; how do you manage data of that week and what would be the best way forward?
|
Data Analytics
|
Oracle
| null | null | null |
According to you, how should an organization strengthen its user authentication?
|
Data Analytics
|
Glider
| 2,022 | null | null |
Advantages and disadvantages of off-policy RL and on-policy RL
|
Machine Learning
|
JPMorgan Chase
| null | null | null |
Advantages of using Power BI?
|
Data Analytics
| null | null | null | null |
Also, explain how were those findings used by the business.
|
Data Science
|
Glider
| 2,023 | null | null |
An HIV Test Has a Sensitivity of 99.7 Percent and a Specificity of 98.5 Percent. A Subject From a Population of Prevalence 0.1 Percent Receives a Positive Test Result. What Is the Precision of the Test, i.e. the Probability They Are HIV Positive?
|
Data Science
| null | null | null | null |
An SQL exercise to extract various specific items of a table.
|
Data Science
|
JPMorgan Chase
| null |
coding
| null |
Analyze raw data to extract actionable business insights requires both technical proficiency and strategic thinking. Discuss your methodical approach to data analysis and your capacity to align your findings with business goals.
|
Data Analytics
|
Capital One
| null | null | null |
Architect a key-value store for distributed systems.
|
Machine Learning
|
Stripe
| null | null | null |
Are access specifiers used in python?
|
Python
| null | null | null | null |
Are arguments in Python passed by value or by reference?
|
Python
| null | null | null | null |
Are decision trees a reliable tool for making predictions, or do they have limitations?
|
Data Science
|
SAP
| null | null | null |
are expected value and mean value different?
|
Data Science
|
IBM
| null | null | null |
Are hashing and encryption the same?
|
Data Analytics
|
Glider
| 2,022 | null | null |
Are multiple inheritances supported by Python?
|
Python
| null | null |
No
|
No
|
Are NULL values the same as zero or a blank space?
|
SQL
| null | null | null | null |
Are NULL values the same as zero or a blank space?
|
SQL
| null | null | null | null |
are there any key success indicators for someone serving a role like Data Science?
|
Data Analytics
|
Intel
| null | null | null |
Are there any things that you do that make you stand out?
|
Data Science
|
SAP
| null | null | null |
Are there any tools for identifying bugs and performing static analysis in python?
|
Python
| null | null | null | null |
Are we over-estimating or underestimating the actual populations credit score?
|
Machine Learning
|
Robinhood
| null | null | null |
Are we overestimating or underestimating the actual populations credit score using a fixed cutoff?
|
Data Science
|
Goldman Sachs
| null | null | null |
Are window functions always faster than joins?
|
Data Engineer
|
Plaid
| null | null | null |
Are you a Python developer looking for amazing projects?
|
Python
| null | null |
No
|
No
|
Are you able to meet deadlines?
|
Data Analytics
|
JPMorgan Chase
| null | null | null |
Are you able to relocate because this position is hybrid?
|
Data Engineer
|
JPMorgan Chase
| null | null | null |
Are you able to work in a group effectively?
|
Data Analytics
|
JPMorgan Chase
| null | null | null |
Are you comfortable with Python syntaxes?
|
Python
|
Mastercard
| null | null | null |
Are you familiar with basic dictionary operations?
|
Data Analytics
|
Goldman Sachs
| null | null | null |
Are you familiar with stream processing frameworks like Apache Kafka and Apache Flink?
|
Data Engineer
| null | null | null |
pe
|
Are you familiar with time-series models? What is your understanding of cross-correlations with time lags?
|
Data Science
|
Glider
| 2,022 | null | null |
Are you looking a skilled contender for the profile of Tax Accountant?
|
Data Analytics
|
Glider
| 2,022 | null | null |
how would you describe your experience with gpu programming?
|
Data Analytics
|
Nvidia
| null | null | null |
As a Data Analytics in a ride-sharing marketplace, how do you detect fraud and ensure fair pricing?
|
Data Analytics
|
Capital One
| null | null | null |
As a Data Science at Stripe, you'll be collaborating with engineers, product managers, and other stakeholders across the organization. How do you approach cross-functional collaboration, and how do you ensure that your work aligns with the larger goals of the business?
|
Data Science
|
Stripe
| null | null |
pe
|
As a Data Science at Stripe, you'll be collaborating with engineers, product managers, and other stakeholders across the organization. How do you approach cross-functional collaboration, and how do you ensure that your work aligns with the larger goals of the business?
|
Data Science
|
Stripe
| null | null | null |
As a programmer, could you create a function that can detect which strings within a list are anagrams of each other?
|
Machine Learning
|
Coinbase
| null |
coding
| null |
As a programmer, could you create a function that can detect which strings within a list are anagrams of each other?
|
Machine Learning
|
Stripe
| null |
coding
| null |
As they apply to decision trees, how do you explain bias and variance? Also, which is harder to tackle: high bias or high variance, and what's the basis for that?
|
Data Science
|
Chime
| null | null | null |
Assume you have a credit model with a calibrated score for creditworthiness, with a small margin of error. If the model estimates a score of 83%, the actual score likely falls between 81% and 85%. By using 83% as a cutoff for creditworthiness, are we overestimating or underestimating the actual credit scores of the population?
|
Data Science
|
Goldman Sachs
| null | null | null |
Assume you have a logistic model that he heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point. e.g. 100.00 turned into 10000. Would the model will be valued? Why or why not? How would you fix the model?
|
Data Science
|
Robinhood
| null | null | null |
Assume you have a logistic model that is heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next, assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point (e.g., 100.00 turned into 10000). Would the model be valued?
|
Data Science
|
Robinhood
| null | null | null |
Assume you have a logistic model that is heavily weighted on one variable and that one variable has sample data like 50.00, 100.00, 40.00, etc. Next, lets assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point. For example, 100.00 turned into 10000. Would the model still be valid? Why or why not? How would you fix the model?
|
Data Analytics
|
Stripe
| null | null |
pe
|
Assume you have a square grid of known size and each spot in a grid as a number of some real value. If you start at the top left corner and can only go down or right, what it the maximum number you can obtain once you reach the bottom left?
|
Data Science
|
Robinhood
| null | null | null |
Assume you have a square grid of known size, and each spot in a grid represents a number of some real value. If you start at the top left corner and can only go down or right, what is the maximum number you can obtain once you reach the bottom left?
|
Data Science
|
Robinhood
| null | null | null |
Assume You Need to Generate a Predictive Model Using Multiple Regression. Explain How You Intend to Validate This Model.
|
Machine Learning
| null | null | null | null |
assume you're given a table containing amazon purchasing activity. write a query to calculate the cumulative purchases for each product type, ordered chronologically. the output should consist of the order date, product, and the cumulative sum of quantities purchased.
|
Data Science
|
AWS
| null | null | null |
assume you're given a table containing data on amazon customers and their spending on products in different category, write a query to identify the top two highest-grossing products within each category in the year 2022. the output should include the category, product, and total spend.
|
Data Science
|
AWS
| null | null | null |
Assume youre responsible for incorporating payment data into your internal data warehouse. How would you build an ETL pipeline to transfer Stripe payment data into the database, enabling analysts to create revenue dashboards and perform analytics?
|
Data Engineer
|
PayPal
| null | null | null |
Assuming a coin is biased, how would you modify it to make it fair and unbiased?
|
Data Science
|
Coinbase
| null | null | null |
At Mastercard, how would you improve the customer experience for people primarily using cash?
|
Data Engineer
|
Mastercard
| null | null | null |
At Stripe, we're focused on helping businesses grow and succeed. How do you see the role of a Data Science contributing to that mission?
|
Data Science
|
Stripe
| null | null |
pe
|
At type of data have you worked with in the past?
|
Data Engineer
|
Pico MES
| null | null | null |
Bagging versus boosting- what are the differences, and how do they influence bias and variance in machine learning algorithms?
|
Data Science
|
SAP
| null | null | null |
Based on the customer spending data, how would you determine what our next partner card should be?
|
Data Science
|
American Express
| null | null | null |
Based on the customer spending data, how would you determine what the next partner card should be?
|
Data Analytics
|
Wells Fargo
| null | null |
pe
|
Based on the following table, how would you measure the success of the email campaign and write a query to analyze the success of your campaign.
|
Data Analytics
|
Wells Fargo
| null |
coding
| null |
Based on your findings, what recommendations would you make to the business?
|
Data Science
|
Block
| null | null | null |
between python and r, which one will you choose for analyzing the text, and why?
|
Data Science
|
Intel
| null | null | null |
Between two tables, can we create multiple dynamic connections?
|
Data Analytics
| null | null | null | null |
Beyond technical skills, what do you consider your biggest strength in approaching and solving data-driven problems?
|
Data Analytics
|
Capital One
| null | null |
pe
|
Binders, Bookcases, Chairs, and Copiers are some of the subcategories included in the source data. It is necessary to merge all of these Sub-categories into a single dimension known as "Office Supplies." What method can be applied to fulfill this requirement?
|
Data Analytics
| null | null | null | null |
Briefly define Tableau CRM.
|
Data Analytics
| null | null | null | null |
Briefly Explain Logistic Regression.
|
Machine Learning
| null | null | null | null |
Briefly Explain Logistic Regression.
|
Machine Learning
| null | null | null | null |
Briefly explain the procedure to measure the length of all sharks in the world?
|
Machine Learning
| null | null | null | null |
Build a classifier that given a user with their features assigns a churn probability for every user and predicts which users will churn. How well does your classifier perform? Based on the classifier output classify each user in the dataset as churned or not churned.
|
Data Science
|
Robinhood
| null | null | null |
Build a classifier to classify customers based on their credit worthiness (Alllent, good, poor, 1 more label) ?
|
Data Science
|
Goldman Sachs
| null |
coding
| null |
Build a decentralized key-value database.
|
Machine Learning
|
Plaid
| null | null | null |
build a logistic regression model on the customer_churn dataset in python. the dependent variable is churn and the independent variable is monthlycharges. find the log_loss of the model.
|
Data Science
|
Intel
| null | null | null |
Build a model to predict whether a user will cancel account.
|
Data Science
|
Robinhood
| null | null | null |
Build a model to predict whether a user will cancel an account.
|
Data Science
|
Robinhood
| null |
coding
| null |
Build a service for streaming videos like Netflix.
|
Machine Learning
|
Coinbase
| null | null | null |
Build an ad bidding platform with real-time capabilities.
|
Machine Learning
|
Coinbase
| null | null | null |
By what means will you sort a large list of numbers?
|
Data Science
|
Glider
| 2,023 | null | null |
Calculate a factorial
|
Python
| null | null |
No
|
No
|
Calculate sum and average of a list
|
Python
| null | null |
No
|
No
|
Calculate the accuracy of a binary classification algorithm by using its confusion matrix.
|
Data Science
|
Stripe
| null | null | null |
Calculate the accuracy of a binary classification algorithm by using its confusion matrix.
|
Data Science
|
Block
| null | null | null |
Calculate the area of a rectangle
|
Python
| null | null |
No
|
No
|
Calculate the Average Account Balance. As a part of the finance team at Citigroup, you are required to analyze customers' usage of their accounts. Can you write a SQL query to calculate the average account balance for each type of account (Checking, Savings, Credit etc.) for the year 2022?
|
SQL
|
Citigroup
| null |
coding
| null |
Calculate The Average Transaction Amount per Branch
|
SQL
|
JPMorgan Chase
| null |
coding
| null |
Calculate the nth Fibonacci number?
|
Python
| null | null |
No
|
No
|
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