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I applied via Referral and was interviewed before Jan 2021. There were 3 interview rounds.
Estimate the number of bridal dresses sold in a year in x country.
Research the population of x country and the average age of marriage
Find out the percentage of marriages that take place in x country
Determine the average cost of a bridal dress and the percentage of brides who buy a dress
Use industry reports and sales data from bridal dress retailers in x country
Consider seasonal trends and cultural traditions that may
I was interviewed in Jul 2021.
Round duration - 60 minutes
Round difficulty - Medium
Asked about normal python coding, Projects and Deep learning Questions.
Normal Python Dictionary problems.
List comprehension problems.
Round duration - 60 minutes
Round difficulty - Easy
given a case study and asked how can i solve that. its a computer vision case study.
problem :
while entering inside the main gate, they want to track whether the person who is going inside has the its own id card or not.
Problem :
While entering inside the main gate, they want to track whether the person who is going inside has the its own id card or not
Tip 1 : They have one scanner, while scanning they can get the employee details. form the camera they can take the face snapshot and they can match both face one from the camera and another from the Database which they have got after scanning.
Round duration - 15 minutes
Round difficulty - Easy
Behavioural round
What are your strengths and weaknesses?
Who is your role model?
What are your hobbies?
Tip 1 : Prepare and practice SQL.
Tip 2 : Be confident with the projects you have written in the resume.
Tip 3 : Prepare with some ML case study. They will give a problem and ask how we can solve with ML.
Tip 1 : Write the problems which people have in ML space for ex: Image recommendation system for similar products, Search Optimisation Engine etc.
Tip 2 : write the business benefits you have achieved by doing the project on the resume for ex: due the recommendation engine sales went 5% higher on this quarter.
Tip 3 : Write proper technical process of the project in a short paragraph.
I applied via LinkedIn and was interviewed in Jul 2024. There were 4 interview rounds.
It was with the client. Tested if I am will be good for the role
I am open to discussing salary based on the market rate and my experience. I can join within a month.
Discussing salary based on market rate and experience
Open to negotiation
Available to join within a month
I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
Optimization techniques in Spark involve tuning parameters, partitioning data, and using caching.
Tune parameters like memory allocation, parallelism, and shuffle partitions for better performance
Partition data to distribute workload evenly across nodes
Use caching to store intermediate results in memory for faster access
Examples: repartition(), cache(), persist() functions in Spark
posted on 23 Sep 2024
I applied via Naukri.com
AWS and Python, basic Machine learning questions
Python, project description, AWS, in build package
Basic Machine learning data science
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
Aptitude, coding on python NLP
Python Data Frames, String list manipulation
I applied via Campus Placement
Test+2 interviews(technical and statistics)
Basic guestimates and case studies
based on 9 reviews
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