Cognizant campus placement was consisting of the following rounds:
- Written
- Technical interview
- HR Interview
- Questions on my internship project which was related to K-means clustering such as its code, drawbacks, solutions to avoid drawbacks, Image size related questions, what is Pixel size, what is unsupervised classification, example methods of unsupervised classification, etc.
- He asked questions based on my project topic, Sentiment analysis, he asked me how you have implemented your project topic, what all features were used, how features were implemented, training set size, test set significance, how dictionary for uni-grams and bi-grams is implemented, what is smoothing, Explain Naive Bayes, etc.
- Then he moved to puzzle problem and he asked a very famous puzzle that is, how a biased coin can be made into unbiased.
- Then he started asking questions on Data structure and algorithm and asked very well known problems like
- Reverse the Link list
- Find the sum of boundary nodes of binary tree
- Print link list in reverse.
- Why Cognizant?
- How was your day & why?
- Why cognizant should hire you?
- Three take away from IIT Patna, etc.