Haber Data Scientist Interview Questions and Answers

Q1. General Question Tell me about yourself
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Q2. How soon you can join
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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

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

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
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Q2. A guestimate question, how many tea cups are consumed daily in delhi
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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...read more
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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...read more
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50 question in 15 mins

Q1. On site evaluation, where various tasks were given
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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...read more
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50 questions need to do in 15 mins.

Q1. Hr round easy asked to solve easy puzzle and guestimate.
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Q1. Onsite interview where they give you task that is irrelevant.
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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
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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
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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
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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.
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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...read more
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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.
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Q1. General Question Tell me about yourself
Add your answer
Q2. How soon you can join
Add your answer

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

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 ...read more
Answered by AI
Add your answer
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...read more
Answered by AI
Add your answer