first interview process is GD and online assessment. later personal interview will be conducted based on results. Then offer will be provided. overall interview process is easy and good. Questionss related to topics data science basics, data visulization, ML models, Data cleaning.1. Dataset · 2. Data Wrangling · 3. Data Visualization · 4. Outliers · 5. Data Imputation · 6. Data Scaling · 7. Principal Component Analysis (PCA)
Interview questions [1]
Question 1
data science basics, data visulization, ML models, Data cleaning
I applied through university. The process took 2 days. I interviewed at Mu Sigma (Hyderābād) in Nov 2025
Interview
It was easy. we have to go through four rounds
1. Online Assessment (Aptitude, SQL, Python, DBMS)
2. Bot Assessment (Technical) [mostly resume based]
3. Personal Interview round (Technical)
4. HR Interview (Technical/Behavioural)
Interview questions [2]
Question 1
Bot Round is regarding resume based totally. It asked me about my projects in depth.
campus placement process consisted of three main stages: an Online Assessment (OA), a Bot Round, and a final HR Round. This structure is a common model for high-volume recruitment drives at educational institutions.
Interview questions [1]
Question 1
Oa was completely aptitude and bot asks questions completely on your resume
2 stage process
Ai interview
And physical interview with tech and HR questions.
It was pretty easy you just have to be thorough with what you know and explain your fundamentals well. It was a bit messy though because they lost the resume of about 50 students
Interview questions [1]
Question 1
What is CNN and RNN and differentiate between them
