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OneBanc Technologies Data Scientist Interview Questions and Answers

Updated 3 Jul 2024

OneBanc Technologies Data Scientist Interview Experiences

2 interviews found

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

I applied via Referral and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

50 questions need to do in 15 mins.

Round 2 - One-on-one 

(1 Question)

  • Q1. Hr round easy asked to solve easy puzzle and guestimate.
Round 3 - Technical 

(1 Question)

  • Q1. Onsite interview where they give you task that is irrelevant.

Interview Preparation Tips

Interview preparation tips for other job seekers - The working environment at OneBanc is way too bad. It's a 12-hour job from 9:30 a.m. to 9:30 pm with no Saturdays off. It's a startup, and the work culture is very bad. Do not join this company.
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - HR 

(2 Questions)

  • Q1. General Question Tell me about yourself
  • Q2. How soon you can join
Round 2 - Coding Test 

Read about MPIN that is used to access mobile banking apps

Many a times users end up setting an MPIN that is guessable because

1. It is a commonly used MPIN eg 1122

2. It is a combination of easily known demographics of the user. Eg: if the birthdate is 02- Jan-1998 then MPIN could be 0201 or 9802 or 0201 etc. Demographics such as these could be used alone or in a combination

a. DOB

b. Wedding Anniversary

c. Spouse birthday

Solutions Required

1. Part A: Assume that the MPIN is 4-digits. Write a program that suggests if the MPIN is a commonly used one. Ignore the demographics for this part

2. Part B: Enhance the above to take user's demographics as input and provides an output

a. Strength: WEAK or STRONG

3. Part C: Enhance the above to provide the following outputs

a. Strength: WEAK or STRONG

b. If weak then the reason why was it considered weak: It should give from the following the reasons as an array. Array should be empty if Strength is STRONG and non-empty if WEAK

i. COMMONLY_USED

ii. DEMOGRAPHIC_DOB_SELF

iii. DEMOGRAPHIC_DOB_SPOUSE

iv. DEMOGRAPHIC_ANNIVERSARY

4. Part E: Above with a 6-digit PIN

5. Write code that tests the above written code using a set of inputs. Write at least 20 test case in PYTHON

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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
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 Scientist interview?
OneBanc Technologies interview process usually has 2-3 rounds. The most common rounds in the OneBanc Technologies interview process are HR, Coding Test and Aptitude Test.
What are the top questions asked in OneBanc Technologies Data Scientist interview?

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

  1. Onsite interview where they give you task that is irreleva...read more
  2. Hr round easy asked to solve easy puzzle and guestima...read more

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OneBanc Technologies Data Scientist Salary
based on 5 salaries
₹4.5 L/yr - ₹17 L/yr
29% less than the average Data Scientist Salary in India
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OneBanc Technologies Data Scientist Reviews and Ratings

based on 2 reviews

4.5/5

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