ICICI Securities Data Scientist Interview Questions, Process, and Tips

Q1. What is Gradient Descents?
Ans. 
Gradient descent is an optimization algorithm used to minimize a function by iteratively moving in the direction of steepest descent.
• Gradient descent is used to find the minimum of a function by taking steps proportional to the negative of the gradient at the current point.

• It is commonly used in machine learning to optimize the parameters of a model by minimizing the loss function.

• There are different variants of gradie...read more
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Q2. What is LSTM?, and what are the gates in it?
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LSTM (Long Short-Term Memory) is a type of recurrent neural network designed to handle long-term dependencies.
• LSTM has three gates: input gate, forget gate, and output gate.

• Input gate controls the flow of information into the cell state.

• Forget gate decides what information to discard from the cell state.

• Output gate determines the output based on the cell state.
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Q3. They gave me a link to dataset and started saying the operations to apply on that. E.g, value_counts, null_values, fill the values with mean,etc.
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Q4. What is t-test? What is Mean, Median and Mode and where to use these?
Ans. 
T-test is a statistical test used to determine if there is a significant difference between the means of two groups.
• Mean is the average of a set of numbers, median is the middle value when the numbers are ordered, and mode is the most frequently occurring value.

• Mean is sensitive to outliers, median is robust to outliers, and mode is useful for categorical data.

• T-test is used to compare means of two groups, mean is used...read more
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Q5. What is RANDOM FOREST ?
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Random Forest is an ensemble learning method used for classification and regression tasks.
• Random Forest is a collection of decision trees that are trained on random subsets of the data.

• Each tree in the forest makes a prediction, and the final prediction is the average (regression) or majority vote (classification) of all trees.

• Random Forest helps reduce overfitting and improve accuracy compared to a single decision tre...read more
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Q1. SQL Window functions
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Q2. Excel computed fields in pivot tables
Ans. 
Excel pivot tables allow users to create computed fields using formulas.
• In Excel pivot tables, computed fields are created by adding a new field with a formula.

• Formulas can be simple arithmetic operations or more complex calculations.

• Computed fields can be used to perform calculations on existing data in the pivot table.

• Examples: calculating profit margin by dividing revenue by cost, calculating average sales per month
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Q3. Difference in precision and recall
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Precision is the ratio of correctly predicted positive observations to the total predicted positives, while recall is the ratio of correctly predicted positive observations to the all observations in actual class.
• Precision focuses on the accuracy of positive predictions, while recall focuses on the proportion of actual positives that were correctly identified.

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)

• Example: In...read more
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Q1. About past experience
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Q2. Past project details
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Cancellation in the number of bookings in an app has increased exponentially in the past few weeks, How would you conduct an RCA on the same.

Numerical logical round with market related questions

Q1. Call put strategies
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Python based EDA assignment

Q1. Nilllllllllllllllllllllllll
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Q1. The interview was really smooth, every aspect was discussed clearly from expectations, learning, to growth
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