Envié una solicitud electrónica. Acudí a una entrevista en Mu Sigma
Entrevista
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)
Preguntas de entrevista [1]
Pregunta 1
data science basics, data visulization, ML models, Data cleaning
Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 2 días. Acudí a una entrevista en Mu Sigma (Hyderabad) en nov 2025
Entrevista
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)
Preguntas de entrevista [2]
Pregunta 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.
Preguntas de entrevista [1]
Pregunta 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
Preguntas de entrevista [1]
Pregunta 1
What is CNN and RNN and differentiate between them
