Glassdoor users rated their interview experience at Culinda as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Machine Learning Intern and Data Science Intern rated their interviews as the hardest, whereas interviews for Machine Learning Intern and Data Science Intern roles were rated as the easiest.
Interviews were conducted in online mode, and they asked to share my screen throughout the interview process
1: Techical inteview taken by their Principal Data Scientist. : eda and some questions related to ml fundamentals and my resume.
2: HR round: Stipend negotiation and about me.
Interview questions [1]
Question 1
They asked to perform EDA on Kaggle's vine dataset.
In same interview, 3 questions of ML were also aksed
1: explain any one Ml algorithm in depth.
2: Ask to explain any one project.
3: Asked my approach for one of project of Amazon NLP hackathon.
They started with my introduction and then their. They asked about DeepL algorithms and gave me a task of exploratory data analysis. After this they also explained me the approach.
Interview questions [1]
Question 1
Exploratory data analysis, convolution neural nwtwork, basic fundamentals