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Angel One Data Scientist 2 Interview Questions, Process, and Tips

Updated 9 Mar 2024

Angel One Data Scientist 2 Interview Experiences

1 interview found

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

I applied via Instahyre and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. 1. How to handle model overfitting and model underfitting situations ? 2. In which situations should we standardize the data and where it is not required ? 3. How does Decision Trees work ? 4. How to selec...
  • Ans. 

    Answering common questions related to data science concepts and techniques.

    • To handle model overfitting, one can use techniques like cross-validation, regularization, and early stopping. For model underfitting, consider using more complex models or adding more features.

    • Standardizing data is important for algorithms like K-Nearest Neighbors and Support Vector Machines. It is not required for tree-based models like Decisi...

  • Answered by AI
  • Q2. 1. If you already have a lot of features and you also have categorical column what strategy will you use to encode the categorical column so that the overall feature count should not increase or should not...
  • Ans. 

    Use target encoding or frequency encoding to encode categorical columns without increasing feature count.

    • Use target encoding: Encode categorical column with the mean of the target variable for each category.

    • Use frequency encoding: Encode categorical column with the frequency of each category in the dataset.

    • Both methods preserve the information of the categorical column without increasing feature count.

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. 1. What are the assumptions of Linear Regression ? 2. What is the formula for Euclidean distance in K-Means ? 3. How does SVM work ? 4. How does SVM work on non linearly separable data ?
  • Ans. 

    Answers to questions related to Linear Regression, K-Means, and SVM in data science.

    • Assumptions of Linear Regression include linearity, independence, homoscedasticity, and normality of errors.

    • Euclidean distance formula in K-Means is the square root of the sum of squared differences between two points.

    • SVM works by finding the hyperplane that best separates the classes in the feature space.

    • SVM on non-linearly separable d...

  • Answered by AI
  • Q2. What is the difference between Decision Trees and Random Forest. Why do we grow a lot of Decision Trees in a Random Forest ?
  • Ans. 

    Decision Trees are single trees while Random Forest is a collection of trees. Random Forest grows multiple trees to improve accuracy and reduce overfitting.

    • Decision Trees are individual trees that make decisions based on features of the data.

    • Random Forest is an ensemble method that combines multiple Decision Trees to improve accuracy and reduce overfitting.

    • Random Forest grows a lot of Decision Trees to increase diversi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - First Technical Round was relatively easy but Second Technical round was definitively hard. The interviewer emphasized more on the know-how of the techniques to solve the problem, focusing on when and why to apply an algorithm and where not to apply the algorithm. He also emphasized whether the candidates understand the data before applying the algorithms. So prepare extremely well with solid hands on experience before going for Angel One interview.

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Assignment 

Credit risk default prediction

Round 2 - Case Study 

Assignment discussion and ML depth

Interview Preparation Tips

Topics to prepare for Navi Technologies Data Scientist 2 interview:
  • Machine Learning
  • Python
  • Credit Risk
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

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

Round 1 - Coding Test 

Pyspark, Python and Machine learning questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. Moderate level questions
  • Q2. Moderate level questions from past work experience

Interview Preparation Tips

Interview preparation tips for other job seekers - I didn't receive any update from the HR team after the second technical round, Be it pass or fail kindly update the candidate rather than giving no answers.

I even tried reaching them but there was no reply
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Discussion on linear regression and regularisation techniques
  • Q2. Discussion on tree based models and measures to score the models

Interview Preparation Tips

Topics to prepare for Paytm Data Scientist interview:
  • Regression
  • Machine Learning
Interview preparation tips for other job seekers - Prepare core definitions and theory for data science properly including maths and equations in details.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Details about past projects
  • Q2. Details about latest project

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good in comm skills
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Kalinga Institute of Industrial Technology, Khurda and was interviewed before Apr 2022. 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. Basic ML questions you can get those on any website by searching ML/Ds question
  • Q2. Some deep question on python like unpacking in python etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the basics very carefully
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. What is deep learning?
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to learn from data.

    • Deep learning involves training neural networks with large amounts of data to make predictions or decisions.

    • It is used in image recognition, natural language processing, and speech recognition.

    • Deep learning models can automatically learn to extract features from raw data.

    • It requires a lot of computational power and data to train ...

  • Answered by AI
  • Q2. Advanced Branch of ai
  • Ans. 

    Reinforcement Learning is an advanced branch of AI that involves training agents to make decisions based on rewards and punishments.

    • Reinforcement Learning involves an agent interacting with an environment and learning from the rewards and punishments it receives.

    • It has been used in various applications such as game playing, robotics, and recommendation systems.

    • Some popular algorithms in Reinforcement Learning include Q...

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Expected salary
  • Q2. Shared the salary as needed

Skills evaluated in this interview

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

I applied via Referral and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Why are you interested in this role
  • Q2. Provide an example how you solved a problem
  • Ans. 

    I solved a problem by using machine learning algorithms to predict customer churn for a telecom company.

    • Identified relevant data sources such as customer demographics, usage patterns, and customer service interactions.

    • Preprocessed and cleaned the data to handle missing values and outliers.

    • Built and trained a machine learning model using algorithms like logistic regression and random forest.

    • Evaluated the model's perform...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Lovely Professional University (LPU) and was interviewed before Jul 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Basic questions like stats, probability etc

Round 2 - Assignment 

Scenario based question

Round 3 - Technical 

(1 Question)

  • Q1. Questions on fundamentals
Round 4 - HR 

(1 Question)

  • Q1. General questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before May 2023. There were 3 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Basic deep Learning and project related questions
  • Q2. Some case study questions
  • Q3. Diff between rnn and lstm
  • Ans. 

    LSTM is a type of RNN with additional memory cells to better capture long-term dependencies.

    • RNN stands for Recurrent Neural Network, while LSTM stands for Long Short-Term Memory.

    • LSTM has additional memory cells (input, forget, output gates) to better capture long-term dependencies.

    • RNN suffers from vanishing/exploding gradient problem, while LSTM helps alleviate this issue.

    • LSTM is better suited for tasks requiring long-...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Some coding question and ask to optimise them
Round 3 - Behavioral 

(1 Question)

  • Q1. Basic managerial questions

Skills evaluated in this interview

Angel One Interview FAQs

How many rounds are there in Angel One Data Scientist 2 interview?
Angel One interview process usually has 2 rounds. The most common rounds in the Angel One interview process are Technical.
How to prepare for Angel One Data Scientist 2 interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Angel One. The most common topics and skills that interviewers at Angel One expect are Analytical, Continuous Improvement, Deep Learning, Financial Services and Loans.
What are the top questions asked in Angel One Data Scientist 2 interview?

Some of the top questions asked at the Angel One Data Scientist 2 interview -

  1. 1. If you already have a lot of features and you also have categorical column w...read more
  2. What is the difference between Decision Trees and Random Forest. Why do we grow...read more
  3. 1. How to handle model overfitting and model underfitting situations ? 2. In wh...read more

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Angel One Data Scientist 2 Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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