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Subex Senior Analytics and Data Scientist Interview Questions and Answers

Updated 17 Jul 2022

Subex Senior Analytics and Data Scientist Interview Experiences

1 interview found

I applied via Approached by Company and was interviewed before Jul 2021. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Difference between Bagging and Boosting ?
  • Ans. 

    Bagging and Boosting are ensemble learning techniques used to improve model performance.

    • Bagging involves training multiple models on different subsets of the data and averaging their predictions.

    • Boosting involves training models sequentially, with each model focusing on the errors of the previous model.

    • Bagging reduces variance and overfitting, while boosting reduces bias and underfitting.

    • Examples of bagging algorithms ...

  • Answered by AI
  • Q2. Why do we need logistic regression when we can use linear regression ?
  • Ans. 

    Logistic regression is used when the dependent variable is categorical, while linear regression is used for continuous variables.

    • Logistic regression predicts the probability of an event occurring, while linear regression predicts the value of a dependent variable.

    • Logistic regression uses a sigmoid function to map the output to a probability value between 0 and 1.

    • Linear regression assumes a linear relationship between t...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Subex Senior Analytics and Data Scientist interview:
  • Machine Learning
  • Statistics
Interview preparation tips for other job seekers - Be confident and calm while giving interviews. The questions will be mostly from statistics and ML.

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Coding Test 

There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).

Round 2 - Technical 

(1 Question)

  • Q1. The technical round was divided in three phases - phase -1 : intro and professional projects They asked about the projects I have contributed in my full-time tenure. Then, asked me to pick any one of them...
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(3 Questions)

  • Q1. What is Overfitting in decision tree
  • Ans. 

    Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.

    • Overfitting happens when the decision tree is too complex and captures noise in the training data.

    • It leads to poor generalization on unseen data, as the model is too specific to the training set.

    • To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en

  • Answered by AI
  • Q2. What is bagging
  • Ans. 

    Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.

    • Bagging stands for Bootstrap Aggregating.

    • It helps reduce overfitting by combining the predictions of multiple models.

    • Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.

  • Answered by AI
  • Q3. What is neuron How its used in DL
  • Ans. 

    A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.

    • Neurons are inspired by biological neurons in the human brain.

    • They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

    • Neurons are organized in layers in a neural network, with each layer performing specific tasks.

    • In deep learning, multiple layers of neurons ar...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Hirect and was interviewed in May 2022. There were 5 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Basic python sql questions, mcq based and coding questions.

Round 3 - Technical 

(1 Question)

  • Q1. They asked the projects which I am working on and had discussion on the same. Asked few statistical questions like boxplots and normal distribution. Also asked basic questions on advance SQL
Round 4 - Behavioral 

(1 Question)

  • Q1. Problem solving questions. Gave a case study to check presence of mind
Round 5 - HR 

(1 Question)

  • Q1. Basic salary discussion

Interview Preparation Tips

Topics to prepare for MathCo Data Scientist interview:
  • SQL
  • python
Interview preparation tips for other job seekers - Just be appropriate in tech round and managerial round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Referral and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Coding Test 

15 MCQ, 2 coding round

Round 2 - Technical 

(2 Questions)

  • Q1. What is PCA explain eigen values
  • Q2. How chatbot works really
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Java and SQL interview questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Coding Test 

Python sql basic questions

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Transformers how different from previous RNN, LSTM etc.
  • Ans. 

    Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.

    • Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.

    • Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.

    • Transformers have been shown ...

  • Answered by AI
  • Q2. What are different types of Attention?
  • Ans. 

    Different types of Attention include self-attention, global attention, and local attention.

    • Self-attention focuses on relationships within the input sequence itself.

    • Global attention considers the entire input sequence when making predictions.

    • Local attention only attends to a subset of the input sequence at a time.

    • Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.

  • Answered by AI
  • Q3. Difference between GPT and BERT model
  • Ans. 

    GPT is a generative model while BERT is a transformer model for natural language processing.

    • GPT is a generative model that predicts the next word in a sentence based on previous words.

    • BERT is a transformer model that considers the context of a word by looking at the entire sentence.

    • GPT is unidirectional, while BERT is bidirectional.

    • GPT is better for text generation tasks, while BERT is better for understanding the cont

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. Difference between Data scientist, ML and AI
  • Ans. 

    Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.

    • Data scientists analyze large amounts of data to uncover patterns and insights.

    • Machine learning involves developing algorithms that improve automatically through experience.

    • Artificial intelligence r...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Python coding and ML resume based questions

Round 2 - HR 

(2 Questions)

  • Q1. Past Projects with the Director
  • Q2. Behavioral Round questions Mostly
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jun 2024. There were 4 interview rounds.

Round 1 - Coding Test 

First round is coding round where two use cases are there. Need to solve them

Round 2 - Technical 

(1 Question)

  • Q1. They will all topics Statistics, SQL, Python, Machine Learning, Data Science
Round 3 - Technical 

(1 Question)

  • Q1. They will discuss more on the projects what we worked on
Round 4 - HR 

(1 Question)

  • Q1. Salary Discussion

Subex Interview FAQs

How many rounds are there in Subex Senior Analytics and Data Scientist interview?
Subex interview process usually has 2 rounds. The most common rounds in the Subex interview process are Resume Shortlist and One-on-one Round.
What are the top questions asked in Subex Senior Analytics and Data Scientist interview?

Some of the top questions asked at the Subex Senior Analytics and Data Scientist interview -

  1. Why do we need logistic regression when we can use linear regressio...read more
  2. Difference between Bagging and Boostin...read more

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