### Instruction: Generate a Data Analyst interview question for Glider in 2022.0

### Response: Name the important elements that you consider while deciding on a loan.


### Instruction: Generate a Data Engineer interview question for Shell in 2023.0

### Response: How is your skill set in Python?


### Instruction: Generate a General interview question

### Response: How does Big-O notation describe an algorithm's time complexity


### Instruction: Generate a Data Scientist interview question for SAP

### Response: What makes you a good fit for SAP?


### Instruction: Generate a All interview question for PayPal

### Response: How would you deal with disagreeing colleagues?


### Instruction: Generate a Data Engineer interview question

### Response: What do you consider to be the most important characteristics of effective data models?


### Instruction: Generate a Data Scientist interview question for Visa

### Response: How many transactions listed as paid have an amount greater or equal to 100?


### Instruction: Generate a Data Scientist interview question for Coinbase

### Response: Can you demonstrate how to reverse a binary tree in a selected programming language?


### Instruction: Generate a Data Engineer interview question for Block

### Response: What is your experience with DM/ETL, analytical thinking, deep dive into DW pipelines issues, and cross-functional fit?


### Instruction: Generate a Data Scientist interview question for Coinbase

### Response: Would you change something about Coinbase if you could?


### Instruction: Generate a SQL Engineer interview question

### Response: How do you check the rows affected as part of previous transactions?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: How to parse bigrams from a string?


### Instruction: Generate a Python interview question

### Response: Does multiple inheritances are supported in Python?


### Instruction: Generate a Data Analyst interview question

### Response: Why should we use Power BI?


### Instruction: Generate a Behavioral interview question for Morgan Stanley

### Response: What are your career goals?


### Instruction: Generate a SQL Engineer interview question

### Response: What are all types of user-defined functions in SQL?


### Instruction: Generate a Machine Learning interview question

### Response: What is feature engineering? Explain the different feature engineering methods.


### Instruction: Generate a Machine Learning interview question

### Response: What is the difference between z-test, F-test, and t-test?


### Instruction: Generate a Data Engineer interview question

### Response: How to do Performance Testing in Tableau?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: How experienced are you with Python?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: You are given a deck of 500 cards numbered from 1 to 500. If the cards are shuffled randomly and you are asked to pick three, one at a time, whats the probability of each subsequent card being larger than the previously drawn one?


### Instruction: Generate a Data Analyst interview question for Nvidia

### Response: can you discuss a technical problem you've encountered and how you resolved it?


### Instruction: Generate a Data Scientist interview question for Block

### Response: State the assumptions required for linear regression.


### Instruction: Generate a Data Scientist interview question for Chime

### Response: Could you showcase your skills in creating a KNN classifier from scratch?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: what are the stages of model testing?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: in building a recommender system, including data collection, choosing the right algorithm (like collaborative filtering or content-based filtering), and evaluating the systems performance. example example to build a recommender system from scratch, id start by collecting user interaction data, such as past purchases and ratings. i would likely use a collaborative filtering approach to find similarities between users and products. the system would be iteratively tested and refined based on metrics like click-through rates and conversion rates to ensure it effectively suggests products that align with individual user preferences and behavior patterns.


### Instruction: Generate a Data Science interview question

### Response: What does an object() do?


### Instruction: Generate a Python interview question

### Response: Find the largest number in a list


### Instruction: Generate a Data Analyst interview question for American Express

### Response: What are the advantages of using XGBoost over traditional machine learning algorithms?


### Instruction: Generate a Data Analyst interview question for Pico MES

### Response: What are the different types of Hypothesis testing?


### Instruction: Generate a Data Scientist interview question

### Response: Can you discuss the process of feature selection and its importance in data analysis?


### Instruction: Generate a Python interview question

### Response: How do you write comments in python?


### Instruction: Generate a Data Analyst interview question

### Response: Difference between Power Query and Power Pivot


### Instruction: Generate a General interview question

### Response: Why is finalize used?


### Instruction: Generate a Data Scientist interview question for Nvidia

### Response: how do you adapt to failure and what have you learned from your failures?


### Instruction: Generate a Data Scientist interview question for Goldman Sachs

### Response: What is a Random Variable?


### Instruction: Generate a SQL interview question for Glider in 2024.0

### Response: How do you select random rows from a table?


### Instruction: Generate a SQL interview question for Glider in 2024.0

### Response: What is a constraint?


### Instruction: Generate a Data Analyst interview question for Bank of America

### Response: Write a function to sort_lists to create a combined list while maintaining sorted order without importing any libraries or using the sort or sorted functions in Python.


### Instruction: Generate a Python interview question for Mastercard

### Response: In a dataset, there is a sex column with the following unique values  Male, Female, M, F, other. How will you change these values to make this column consistent with a supervised model?


### Instruction: Generate a Data Engineer interview question

### Response: Can you walk me through a data pipeline youve built before?


### Instruction: Generate a Data Analyst interview question for Capital One

### Response: How does data analytics help in transforming raw data into actionable strategies for business growth?


### Instruction: Generate a Python interview question

### Response: Which of the accompanying Statements is/are Valid in regard of the Python programming language?


### Instruction: Generate a Data Scientist interview question

### Response: What is One sample test? How is it different from Two Sample test? Give a scenario for each of these types of hypothesis testing?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: how will you determine which machine learning algorithm to use for a classification problem?


### Instruction: Generate a Data Scientist interview question for SAP

### Response: Are there any things that you do that make you stand out?


### Instruction: Generate a Python interview question

### Response: What is a Python decorator, and how would you use it? Provide an example.


### Instruction: Generate a Data Analyst interview question for AWS

### Response: how do i create a copy of my s3 bucket in a different region?


### Instruction: Generate a Data Engineer interview question for Wells Fargo

### Response: How do you handle challenging situations and tight deadlines in a fast-paced environment?


### Instruction: Generate a Data Analyst interview question for Chime

### Response: When would you use a bagging algorithm versus a boosting algorithm?


### Instruction: Generate a All interview question for Mastercard

### Response: How would you create a detailed project plan for a complex, multi-year technology initiative?


### Instruction: Generate a Machine Learning interview question

### Response: Considering a Long List of Machine Learning Algorithms, given a Data Set, How Do You Decide Which One to Use?


### Instruction: Generate a Data Scientist interview question for Coinbase

### Response: Which have been your greatest achievements so far.


### Instruction: Generate a Data Analyst interview question for Pico MES

### Response: What is your process for cleaning data?


### Instruction: Generate a Machine Learning Engineer interview question for Robinhood

### Response: What is the goal of generative models in classification?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: What is an INNER JOIN?


### Instruction: Generate a Data Scientist interview question for SAP

### Response: Why have you decided to change your job?


### Instruction: Generate a Data Scientist interview question

### Response: What are different types of t-test?


### Instruction: Generate a Data Scientist interview question for SoFi

### Response: How did you handle the situation when you had to assist a colleague in an area outside your responsibilities?


### Instruction: Generate a Data Analyst interview question

### Response: What are Measures in Tableau?


### Instruction: Generate a Machine Learning Engineer interview question for Mastercard

### Response: Why did you scale your data?


### Instruction: Generate a Data Scientist interview question for Glider in 2023.0

### Response: Have you ever used any online platform for machine learning like PredictionIO or Azure ML?


### Instruction: Generate a Data Engineer interview question

### Response: What is your experience with big data platforms, such as Hadoop, Spark, and NoSQL?


### Instruction: Generate a Data Engineer interview question for JPMorgan Chase

### Response: What conditions would you take care of when ingesting lots of Kafka event data and RDBMS data, and how to design an ETL pipeline to capture both streams in near real-time?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: How do you choose a prior in Bayesian analysis? What is the impact of a non-informative prior vs. an informative prior?


### Instruction: Generate a Data Science interview question

### Response: What is the meaning of sensitivity in statistics?


### Instruction: Generate a Machine Learning Engineer interview question for Coinbase

### Response: How does SVM differ from Random Forest?


### Instruction: Generate a SQL interview question for Glider in 2024.0

### Response: What is an SQL comment?


### Instruction: Generate a Python interview question

### Response: Are arguments in Python passed by value or by reference?


### Instruction: Generate a SQL Engineer interview question for Mastercard

### Response: How do you write an SQL query to find the total amount spent per customer for each quarter of 2021?


### Instruction: Generate a Data Engineer interview question

### Response: How is the Schedule Refresh feature designed to work?


### Instruction: Generate a Data Engineer interview question for Pico MES

### Response: What types of data would you need?


### Instruction: Generate a Data Scientist interview question for Nvidia

### Response: can you list the different types of relationships in sql?


### Instruction: Generate a Data Analyst interview question for PayPal

### Response: Can you give an example of a project you worked on?


### Instruction: Generate a Python interview question

### Response: Describe the Python Functions?


### Instruction: Generate a Data Engineer interview question

### Response: Can you walk me through a recent project you worked on that involved real-time data?


### Instruction: Generate a Data Scientist interview question

### Response: Give Examples of Data That Doesn't Have a Gaussian Distribution, Nor Log-Normal


### Instruction: Generate a Data Scientist interview question for Google

### Response: what are the features that affect the performance of the model?


### Instruction: Generate a Data Analyst interview question for Pico MES

### Response: How do you approach data visualization to communicate your findings effectively?


### Instruction: Generate a Python interview question

### Response: What are Python namespaces?


### Instruction: Generate a Data Engineer interview question for JPMorgan Chase

### Response: Do you have any questions for me?


### Instruction: Generate a Tableau interview question

### Response: What are groups, sets, and parameters in Tableau?


### Instruction: Generate a Python interview question

### Response: What is the difference between synchronous and asynchronous programming?


### Instruction: Generate a Data Analyst interview question for Citigroup

### Response: How would you design a function to detect anomalies in a univariate dataset?


### Instruction: Generate a Data Scientist interview question for SAP

### Response: Define right-skewed and left-skewed distributions. Where would you find the mean and median in these distributions compared to a normal distribution?


### Instruction: Generate a Data Analyst interview question for AWS

### Response: what are the core skills required for a data analyst?


### Instruction: Generate a Data Analyst interview question for AWS

### Response: what are the basic syntax and best practices for writing code in sas


### Instruction: Generate a Data Scientist interview question for Block

### Response: How do you approach explaining business questions to stakeholders for data analysis?


### Instruction: Generate a Data Analyst interview question for Salesforce

### Response: suppose there is an array, what would you do to extract the value 8 using 2d indexing?


### Instruction: Generate a Machine Learning interview question

### Response: What is Ensemble learning?


### Instruction: Generate a Python interview question

### Response: How would you remove all leading Whitespace in a string?


### Instruction: Generate a Data Analyst interview question for Mastercard

### Response: Explain the Concept of Feature Engineering.


### Instruction: Generate a All interview question for AWS

### Response: how do you prioritize multiple deadlines?


### Instruction: Generate a All interview question for Mastercard

### Response: What mindset and abilities is an employer looking for in a candidate when asking this question?


### Instruction: Generate a Deep Learning interview question

### Response: Can you explain the concept of convolutional neural networks (CNNs) and their importance in computer vision?


### Instruction: Generate a All interview question for Mastercard

### Response: How would you handle a project at Mastercard where the scope needs to be aligned with available resources?


### Instruction: Generate a Data Analyst interview question for Morgan Stanley

### Response: What is L1 Regularization used for?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: Integrity in relevant business scenarios. Discuss the statistical techniques you would employ to detect anomalies and the need for thorough data cleaning. Mention the significance of using diverse datasets to train models and regularly updating them with new data to reduce bias over time.


### Instruction: Generate a Machine Learning Engineer interview question for Robinhood

### Response: Define the cross validation process. What is the motivation behind using it?


### Instruction: Generate a Data Science interview question

### Response: How does Hypothesis Testing help prove statistical Significance?


### Instruction: Generate a Data Engineer interview question for JPMorgan Chase

### Response: explain SQL (joins, union/union all ,Stored procedures)


### Instruction: Generate a Data Scientist interview question for Block

### Response: Can you explain the concept of recall and precision in the context of evaluating a machine learning model's performance for fraud detection?


### Instruction: Generate a Python interview question

### Response: What are Python namespaces?


### Instruction: Generate a Python interview question

### Response: How do you delete a file in Python?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: how does naive bayes classifier work?


### Instruction: Generate a Data Analyst interview question for Goldman Sachs

### Response: What's the difference between a left and right join?


### Instruction: Generate a Machine Learning Engineer interview question for Robinhood

### Response: What is the effect of having a high variance on a machine learning model?


### Instruction: Generate a Data Scientist interview question for SAP

### Response: How do you measure performance of computer vision models?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: what is random forest algorithm


### Instruction: Generate a All interview question for Mastercard

### Response: How would you manage stakeholder expectations in a high-stakes project?


### Instruction: Generate a Data Scientist interview question

### Response: What is the Six sigma in statistic?


### Instruction: Generate a Data Scientist interview question

### Response: What is selection bias and why is it important?


### Instruction: Generate a Data Engineer interview question for JPMorgan Chase

### Response: Explain the difference between spark vs Hadoop


### Instruction: Generate a Machine Learning Engineer interview question for IBM

### Response: what are decision trees?


### Instruction: Generate a Data Scientist interview question for Google

### Response: what is the difference between k-mean and em?


### Instruction: Generate a Machine Learning Engineer interview question for AWS

### Response: what is hyperparameter optimization?


### Instruction: Generate a Data Analyst interview question for IBM

### Response: how would you estimate the best month to offer a discount on shoes?


### Instruction: Generate a Data Engineer interview question for JPMorgan Chase

### Response: What conditions you will take care of while you are getting lot of events data from Kafka & some data from RDBMS, and how you will design the ETL pipeline to capture these data in near-real time for the Kafka it possible but you can possible if any new data change sin RDBMS how you can get instantly?


### Instruction: Generate a Data Scientist interview question for SoFi

### Response: What are type I & type II errors in hypothesis testing?


### Instruction: Generate a Python interview question

### Response: What are collections? What is the significance of collections in Python?


### Instruction: Generate a Data Scientist interview question for Robinhood

### Response: Build a model to predict whether a user will cancel account.


### Instruction: Generate a Python interview question

### Response: What are metaclasses in Python, and how would you use them?


### Instruction: Generate a Machine Learning Engineer interview question for Coinbase

### Response: Describe your experience with SQL and database querying. How do you optimize queries for performance when working with large datasets?


### Instruction: Generate a Data Scientist interview question for SAP

### Response: How would you design a recommendation system for Amazon customers, considering that a single customer may use many devices to logon to a single account?


### Instruction: Generate a Data Engineer interview question for Pico MES

### Response: At type of data have you worked with in the past?


### Instruction: Generate a Data Scientist interview question for JPMorgan Chase

### Response: How would you differentiate Bayesian statistics from frequentist statistics?


### Instruction: Generate a Data Scientist interview question for Coinbase

### Response: What separates batch normalisation from instance normalisation?


### Instruction: Generate a Machine Learning Engineer interview question for Robinhood

### Response: Is your classifier able to discriminate between fraud and not-fraud effectively?