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OneBanc Technologies Data Science Intern Interview Questions and Answers

Updated 17 Oct 2024

OneBanc Technologies Data Science Intern Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
4-6 weeks
Result
-

I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.

Round 1 - Group Discussion 

A random topic was given and we had to speak on it

Round 2 - One-on-one 

(2 Questions)

  • Q1. Why do u want to join us
  • Ans. 

    I am passionate about data science and believe your company offers a great opportunity for growth and learning.

    • Passionate about data science

    • Believe company offers growth and learning opportunities

  • Answered by AI
  • Q2. A guestimate question, how many tea cups are consumed daily in delhi
Round 3 - Technical 

(2 Questions)

  • Q1. What is Bias In ML?
  • Ans. 

    Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.

    • Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.

    • It can result from the data used to train the model being unrepresentative or skewed.

    • Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.

    • Examples inclu...

  • Answered by AI
  • Q2. Regression concept in ML
  • Ans. 

    Regression in ML is a supervised learning technique used to predict continuous values based on input features.

    • Regression models establish a relationship between dependent and independent variables.

    • Common regression algorithms include linear regression, polynomial regression, and logistic regression.

    • Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.

    • Example: Predicting house prices b...

  • Answered by AI
Round 4 - Aptitude Test 

50 question in 15 mins

Round 5 - One-on-one 

(2 Questions)

  • Q1. On site evaluation, where various tasks were given
  • Q2. Why do u want to join us
  • Ans. 

    I am passionate about data science and believe your company offers a great opportunity for growth and learning.

    • I am passionate about data science and enjoy working with data to derive insights and make informed decisions.

    • I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.

    • I am impressed by the projects your c...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work life balance might be an issue

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Campus Placement and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - HR 

(5 Questions)

  • Q1. Introduce yourself.
  • Ans. 

    I am a data science enthusiast with a strong background in statistics and machine learning.

    • Completed a Bachelor's degree in Statistics

    • Proficient in programming languages like Python and R

    • Experience with data visualization tools like Tableau

    • Completed projects involving predictive modeling and data analysis

  • Answered by AI
  • Q2. Why you want to join onebanc ?
  • Ans. 

    I want to join onebanc because of its innovative approach to financial services and the opportunity to work with cutting-edge technology.

    • Onebanc's focus on leveraging data science for improving financial services aligns with my career goals.

    • I am excited about the chance to work with a talented team of data scientists and engineers at onebanc.

    • The company's commitment to innovation and continuous learning is something th

  • Answered by AI
  • Q3. Explain your project.
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Used historical customer data to train the model

    • Features included customer demographics, usage patterns, and customer service interactions

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q4. What are your hobbies ?
  • Ans. 

    My hobbies include hiking, reading, and playing the guitar.

    • Hiking: I enjoy exploring nature trails and challenging myself physically.

    • Reading: I love diving into different genres of books, from fiction to non-fiction.

    • Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.

  • Answered by AI
  • Q5. What are the average no. Of tea people drink in a day in delhi ?
  • Ans. 

    The average number of tea people drink in a day in Delhi varies depending on individual preferences and habits.

    • The average number of tea consumed can range from 1-5 cups per day.

    • Factors such as age, gender, occupation, and cultural background can influence tea consumption.

    • Some people may drink more tea in the morning for a caffeine boost, while others may prefer tea throughout the day for relaxation.

    • Tea consumption may...

  • Answered by AI

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Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. Some basic questions were asked they were just looking for who will be loyal to the company even after working for 2-3 years.

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is LLM how do you fine tune them
  • Ans. 

    LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.

    • LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

    • Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

    • Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...

  • Answered by AI
  • Q2. What is RAG and its working?
  • Ans. 

    RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.

    • RAG is commonly used in project management to quickly communicate the status of tasks or projects.

    • Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...

  • Answered by AI

OneBanc Technologies Interview FAQs

How many rounds are there in OneBanc Technologies Data Science Intern interview?
OneBanc Technologies interview process usually has 2-3 rounds. The most common rounds in the OneBanc Technologies interview process are One-on-one Round, HR and Group Discussion.
What are the top questions asked in OneBanc Technologies Data Science Intern interview?

Some of the top questions asked at the OneBanc Technologies Data Science Intern interview -

  1. What are the average no. Of tea people drink in a day in delh...read more
  2. What is Bias In ...read more
  3. Regression concept in...read more

Tell us how to improve this page.

OneBanc Technologies Data Science Intern Interview Process

based on 3 interviews

Interview experience

4.7
  
Excellent
View more

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