The data was a mix of anonymised categorical and numerical features of (I think) cars that were shown to users that ended up being booked. There was an open ended requirement of coming up with data analysis graphs, a simple machine learning model, a discussion on a possible product that could be built on it, and a discussion on either the price sensitivity of users, or the importance of price as a variable that's factored in by users when making a purchase.
A code related to arrays and restructing them
what is your previous experience?
Tell me about a project where you made a decision that made a big impact
Regular data science questions Basic understanding on cybersecurity Working in a startup and agile environment
Autoencoders, CNN, RandomForest, Price optimization, Linear programming, Regression, Epidemiological models(based on my resume), generic questions about some of the key ML concepts like logistic regression, feature engineering and hyperparameter tuning.
There were bunch of puzzles that were asked, some real life questions and some about your resume. Fairly decent process and the factualty is very helpful, they don't make you stress in the interview.
normal questions from the project case study
Design a system for presenting data insights to the users
1. Programming Question on Stock Maximization. 2. Data Modelling questions 3. SQL 4. Questions on general ML and deep dive. (Prepare this well)
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