Sprinklr interview experience Real time questions & tips from candidates to crack your interview
Data Scientist
Sprinklr
2 rounds | 3 Coding
problems
Selected Interview preparation journey
Preparation
Duration: 3 months
Topics: Machine Learning Algorithms, Data Science Techniques, TensorFlow, Deep Learning
Tip 1 : Prepare a good resume work with great state-of-the-art techniques.
Tip 2 : Make sure that you know all of the projects in the resume and also all kinds of algorithms or stacks used in it.
Tip 3 : It will be a plus point if a past relevant internship experience is there.
Application process
Where: Campus
Eligibility: Resume shortlisting was done based on projects
Tip 1 : Should have great past projects, especially with a positive outcome
Tip 2 : The resume should be well structured, and try to quantify the details
Interview rounds
01
Round
Hard
Video Call
Duration25 minutes
Interview date2 Dec 2021
Coding problem2
2 interviewers were there, who asked mostly about the projects in the Resume and also asked questions relating to the problem statement of projects only.
1. Machine Learning Question
For a Neural Network, how will you vary the depth and width of the network in case of overfitting and underfitting?
2. Machine Learning Question
How will you handle data imbalance?
02
Round
Easy
HR Round
Duration15 minutes
Interview date2 Dec 2021
Coding problem1
Just general HR questions
1. Basic HR Questions
Where do you see yourself in the future?
Do you know what the company Sprinklr does?
How did you handle a situation where you were demotivated?
What are your strengths and weakness?
Here's your problem of the day 
Solving this problem will increase your chance to get selected in this company
Skill covered: Programming
How do you remove whitespace from the start of a string?
Choose another skill to practice
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