Poshmark Senior Data Analyst Interview Questions and Answers

A random topic was given and we had to speak on it

Q1. Why do u want to join us
Ans. 
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
• Passionate about data science

• Believe company offers growth and learning opportunities
Answered by AI
Add your answer
Q2. A guestimate question, how many tea cups are consumed daily in delhi
Add your answer

Q1. What is Bias In ML?
Ans. 
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
• Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.

• It can result from the data used to train the model being unrepresentative or skewed.

• Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.

• Examples inclu...read more
Answered by AI
Add your answer
Q2. Regression concept in ML
Ans. 
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
• Regression models establish a relationship between dependent and independent variables.

• Common regression algorithms include linear regression, polynomial regression, and logistic regression.

• Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.

• Example: Predicting house prices b...read more
Answered by AI
Add your answer

50 question in 15 mins

Q1. On site evaluation, where various tasks were given
Add your answer
Q2. Why do u want to join us
Ans. 
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
• I am passionate about data science and enjoy working with data to derive insights and make informed decisions.

• I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.

• I am impressed by the projects your c...read more
Answered by AI
Add your answer

SQL -- LeetCode style questions Medium lvl

Q1. Past experiences
Add your answer
Q2. How one can help with eshopbox
Ans. 
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
• Conduct data analysis to identify trends and patterns in customer behavior

• Use data to personalize marketing strategies and recommend products to customers

• Optimize website layout and user experience based on data insights

• Implement data-driven pricing strategies to maximize sales and profits
Answered by AI
Add your answer

SQL, excel, tableau , looker studio

Q1. What is your notice period.
Add your answer

Q1. Difference between logistic regression and svm
Ans. 
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
• Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

• SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

• Logistic regression is more interpretable and easier to implement...read more
Answered by AI
Add your answer
Q2. Data augmentation related questions
Add your answer

About customer data hiw may job card and warrant parts

Power Bi with visualization

Q1. Only discussion about previous experience
Add your answer

50 questions need to do in 15 mins.

Q1. Hr round easy asked to solve easy puzzle and guestimate.
Add your answer

Q1. Onsite interview where they give you task that is irrelevant.
Add your answer

Q1. What is LLM how do you fine tune them
Ans. 
LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
• LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

• Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

• Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...read more
Answered by AI
Add your answer
Q2. What is RAG and its working?
Ans. 
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
• RAG is commonly used in project management to quickly communicate the status of tasks or projects.

• Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...read more
Answered by AI
Add your answer