HSBC Bank Data Scientist Interview Questions and Answers

If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation

Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
Ans. 
To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.
• Implement parental controls to assure parents of child safety online.

• Include educational content to attract parents looking for learning opportunities.

• Incorporate interactive games to engage children and make the account more appealing.

• Offer rewards or incentives for completing educational activi...read more
Answered by AI
Add your answer

Q1. What do you do if your model has higher false positives
Ans. 
Investigate the model performance metrics and adjust the threshold for classification.
• Analyze the confusion matrix to understand the distribution of false positives.

• Adjust the threshold for classification to reduce false positives.

• Consider using different evaluation metrics like precision, recall, and F1 score.

• Explore feature importance to identify variables contributing to false positives.
Answered by AI
Add your answer

Q1. Explain Sigmoid Function
Ans. 
Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.
• Sigmoid function is commonly used in machine learning for binary classification problems.

• It is defined as f(x) = 1 / (1 + e^(-x)), where e is the base of the natural logarithm.

• The output of the sigmoid function is always in the range (0, 1).

• It is used to convert a continuous input into a probability value.

• Example: f(0) = 0.5...read more
Answered by AI
Add your answer
Q2. What is a T-test in logistic regression
Ans. 
A T-test in logistic regression is used to determine the significance of individual predictor variables.
• T-test in logistic regression is used to test the significance of individual coefficients of predictor variables.

• It helps in determining whether a particular predictor variable has a significant impact on the outcome variable.

• The null hypothesis in a T-test for logistic regression is that the coefficient of the predi...read more
Answered by AI
Add your answer
Q3. How to fit model to an unexplored market
Ans. 
To fit a model to an unexplored market, conduct thorough market research, gather relevant data, identify key variables, test different models, and continuously iterate and refine the model.
• Conduct thorough market research to understand the dynamics of the unexplored market

• Gather relevant data on customer behavior, market trends, competition, etc.

• Identify key variables that may impact the market and model outcomes

• Test d...read more
Answered by AI
Add your answer

Q1. Focus was on SQL, projects done so far, Machine Learning and Stats
Add your answer

Q1. Machine learning questions
Add your answer

Project Discussion on Eye flue detection

Q1. Explain about how recommendation engine work
Add your answer

Q1. Logistic regression loss function
Add your answer
Q2. Step function in ML context
Ans. 
Step function is a function that returns a constant value for a certain range of inputs.
• In machine learning, step functions are used as activation functions in neural networks.

• They are typically used in binary classification problems where the output is either 0 or 1.

• Examples include Heaviside step function and sigmoid step function.
Answered by AI
Add your answer