Tip 1 : Do industry level projects.
Tip 2 : Understand the mathematics behind every algorithm.
Tip 3 : Practice python basics.
Tip 1: Try to include industry level Data science projects.
Tip 2: One page resume
It was a machine learning problem to be solved in two days.
To predict sentiment scores and one more score from text data, and combine the scores in 60:40 ratio and submit the combined scores.
Tip 1 : First train one model for sentiment scores
Tip 2 : Train another model for another score criteria.
Tip 3 : Check the evaluation metrics and combine the scores in given ratio.
To make the presentation of the Machine Learning round held in previous round.
Tip 1 : Describe problem statement in first slide
Tip 2 : Include your basic approach and analysis.
Tip 3 : Include evaluation metrics and conclude with why the solution is right and best in all aspects.
It was HR+ Data science technical round.
Explain XGBoost in detail.
Explain Decision trees.
When should we use decision and random forest.
Explain one of your best project and learning from that project.
Explain what you learned in you data science certification.
Why you are the best fit.
One puzzle.
one coding question: Count unique words in a sentence in ascending order and present your results in a dictionary.
Tip 1 : Always go slow in your explanations
Tip 2 : Explain every thing in details, also let them know if you have any doubts in the question. This make them feel that you are interested in the question.
Tip 3 : Always ask questions in the end but related to your domain only.

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?