Deloitte interview experience Real time questions & tips from candidates to crack your interview
Consulting Engineer
Deloitte
2 rounds | 2 Coding
problems
Selected Interview preparation journey
Preparation
Duration: 6 Months
Topics: ML, Data Mining, Random Forest, Decision Tree, EDA, Tableau
Tip 1 : Be honest and confident of what you say
Tip 2 : Work on projects and should have in depth knowledge of the project
Tip 3 : Don’t just have theoretic knowledge, practical hands on is the key to crack the interviews
Application process
Where: Campus
Eligibility: No
Tip 1 : One page resume works best
Tip 2 : keep it crisp and clean
Interview rounds
01
Round
Medium
Online Coding Interview
Duration60 Minutes
Interview date1 Jul 2021
Coding problem1
Two python question were there and level of difficulty was medium
1. Encode The String
Easy
10m average time
80% success
0/40
Asked in companies
You are given a string ‘S’ of length ‘N’. The string can be encoded using the following rules:
1) If the ‘i-th’ character is a vowel, change it to the next character in the alphabetical sequence. For example, the next character of ‘o’ is ‘p’.
2) If the ‘i-th’ character is a consonant, change it to the previous character in the alphabetical sequence. For example, the previous character of ‘h’ is ‘g’.
3) The next character of ‘z’ is ‘a’.
4) The previous character of ‘a’ is ‘z’.
Find the encoded string.
Example :
‘N’ = 4, ‘S’ = “code”
Character ‘c’ gets changed to ‘b’.
Character ‘o’ gets changed to ‘p’.
Character ‘d’ gets changed to ‘c’.
Character ‘e’ gets changed to ‘f’.
Encoded string = “bpcf”
Problem approach
I used basic if else statement in python
02
Round
Medium
Video Call
Duration60 Minutes
Interview date31 Jul 2021
Coding problem1
Asked questions on different data mining questions.
Practical examples of Random forest model and decision tree model
Asked SQL queries
EDA
Data preprocessing
1. Data Mining model related questions
Asked about realtime usage of Decision tree and random forest model.
How to handle null values in dataset
Data preprocessing questions
Problem approach
Tip 1 : Study about the assumptions and drawbacks of the models
Tip 2 : practice each model on data sets so that you get idea which model works best for what kind of dataset
Tip 3 : Always listen to the question carefully first and then take a minute to answer it
Dont answer it immediately
Here's your problem of the day 
Solving this problem will increase your chance to get selected in this company
Skill covered: Programming
How do you remove whitespace from the start of a string?
Choose another skill to practice
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