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Summary
I experienced a multi-round interview process for a Data Science Internship at Data Axle, which included technical assessments covering DSA, Machine Learning, Deep Learning, Python, SQL, and OOPS, culminating in an HR round.
Full Experience
Round 1:
An online assesment DSA round. It were preety easy questions.
3 questions - easy to medium - 1 hour
Round 2:
L1 interview round. Most of the questions asked were around my Deep Learning Honors and core Machine Learning knowledge.
Some questions of basic Python, some sql and oops were also asked.
Also some of the medium level DSA questions.
Round 3:
L2 interview round - again techincal questions. this time more in depth deep learning questions, with core ML knowlege about different models were asked.
This time some Good medium level DSA questions like stock price prediction, 3 sum problem, Anagram questions, etc. were asked too.
Round 4:
HR interview - It went preety smooth and HR was also calm.
This is my first internship
Will give my best in company.
Interview Questions (3)
A medium-level Data Structures & Algorithms question related to stock price prediction problems, often involving finding maximum profit from buying and selling stocks.
A medium-level Data Structures & Algorithms question asking to find all unique triplets in an array whose sum is zero.
A medium-level Data Structures & Algorithms question type involving checking if two strings are anagrams of each other or grouping anagrams together.