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I applied via Walk-in and was interviewed in May 2023. There were 4 interview rounds.
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I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
posted on 19 Feb 2025
I have extensive experience in analyzing data to provide valuable insights and drive decision-making. I can contribute by leveraging my skills to improve processes and optimize performance.
I have worked with various data analysis tools and techniques to extract, clean, and analyze data sets.
I have experience in creating visualizations and reports to communicate findings to stakeholders.
I have a track record of identify...
I applied via Job Portal and was interviewed in Apr 2024. There were 3 interview rounds.
Critical question in maths
General topic about current situation
I applied via Approached by Company and was interviewed in Sep 2021. There were 4 interview rounds.
It was a data set and my task was to find oit the different types of sales trend weekly, monthly, city wise and gender wise.
Prepare the assignment in attractive manner and maintain the flow
I appeared for an interview in Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 20 Minutes
Round difficulty - Easy
Tip 1 : Start with basic probability and statistics
Tip 2 : Prepare Machine Learning well
Tip 3 : Be good with any visualisation tool like Tableau
Tip 4 : Do some problems on kaggle
Tip 1 : Provide certifications for SQL, Machine Learning etc.
Tip 2 : Include some good ML projects in the resume
I appeared for an interview in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
A train running at the speed of 60 km/hr crosses a pole of 9 seconds. what is hte length of train?
Print all prime numbers
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