SPsoft global Interview Experience

Round 1 (Google forms Mcqs)

• This round consists of 30 MCQs of related to statistics, Machine learning, deep learning, and OpenCV
• first 10 questions on statistics with simple probability and statistics distributions
• 10 – 20 questions are related to machine learning algorithms 
• 20 – 30 questions are related to both deep learning and OpenCV

Suggestions: This Round will be so easy all these questions are commonly asked questions in data scientist interview

Round 2 (technical round)

• the interviewer asked me to explain Logistic regression on a paper with the math behind it I was prepared for that and it went well
• they gave some business scenario problems and asked how would you solve this problem technically and non technically
• Asked Various questions on the confusion matrix and they were trying to confuse you on that and type 1 and type2 error
• Asked about CNN in deep learning about bounding boxes and neural networks 
• And ended up explaining my project and deployment  

Suggestions :  (if you have knowledge of deployment  that added advantage

Round 3 (Coding round)

• Find a list of similar words for a given string using a fuzzy-wuzzy library
• Do some operation and descriptive statistics on a given data frame
• Try to treat outliers in a data frame and visualize some graphs
• some NumPy related coding questions

Suggestions: Basic coding knowledge is enough they were not asking about DSA 

Round 5 (HR Round)

•    Tell me something about yourself.
•     Little discussions over my hobbies 
•    Will you relocate?

The interview went very well and the interviewer was very kind and tried to help you if you stuck