mostly questions based on experience on job description initial call with hr on past experiences and availability technical part was mostly on data science problems like logistic regression , Random forest and EDA , data cleaning and reporting other 2 rounds with the hiring team on business related questions mostly and final offer after the last interview ( a week max)
What are the important parameters in a Random Forest Algorithm? Explain the scope and impact of the projects that you worked on? What is the step-by-step process of how you build a model?
Tell us a serious problem that you encountered. List the steps on how you deal with the problem.
SQL (how would you get salaries of employees from table based on condition), Power BI (which visualization would you use for this problem), problem solving (given a tape measure, can you tell me how many basketballs can fit in the room), behavioral (what is your greatest achievement), python (what kind of plots you can do with matplotlib), data science (how to deal with categorical data, why does overfitting happen, how to check for anomalies or outliers), etc
Explanation of all the classical ML algorithms
Given a huge collection of books, how would you tag each book based on genre?
Do a 20 minutes test before other rounds.
Bayesian probability question where you got your information from a graph.
Can you provide an example of a supply chain problem you’ve worked on and how you solved it?
Describe eigenvectors and eigenvalues in PCA
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