Motilal Oswal Financial Services Data Scientist Interview Questions and Answers

Python test is taken

Q1. Salary discussion
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Q1. What is cross validation ?
Ans. 
Cross validation is a technique used to assess the performance of a predictive model by splitting the data into training and testing sets multiple times.
• Cross validation helps to evaluate how well a model generalizes to new data.

• It involves splitting the data into k subsets, training the model on k-1 subsets, and testing it on the remaining subset.

• Common types of cross validation include k-fold cross validation and lea...read more
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Round duration - 60 Minutes
Round difficulty - Easy

Round duration - 60 Minutes
Round difficulty - Easy

There were 10 MCQs ranging from Aptitude to Programming MCQs to basics of Data Science.
The coding question only the optimized solution was accepted

Q1. 
Special Sum of Array Problem Statement
Given an array 'arr' containing single-digit integers, your task is to calculate the total sum of all its elements. However, the resulting sum must also be a single-...read more
Ans. 
Calculate the total sum of array elements until a single-digit number is obtained by repeatedly summing digits.
• Iterate through the array and calculate the sum of all elements.

• If the sum is a single-digit number, return it. Otherwise, repeat the process of summing digits until a single-digit number is obtained.

• Return the final single-digit sum.
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Round duration - 45 minutes
Round difficulty - Easy

The interview happened in the evening. It was an online video call.
The interviewer was very cooperative. I would say it was rather a discussion session between us.

Q1. 
Clone a Linked List with Random Pointers
Given a linked list where each node contains two pointers: one pointing to the next node and another random pointer that can point to any node within the list (or ...read more
Ans. 
Create a deep copy of a linked list with random pointers.
• Iterate through the original linked list and create a new node for each node in the list.

• Store the mapping of original nodes to new nodes in a hashmap to handle random pointers.

• Update the random pointers of new nodes based on the mapping stored in the hashmap.

• Return the head of the copied linked list.
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Round duration - 10 Minutes
Round difficulty - Easy

It was late night
It was a telephonic call

Q1. How to extract numbers pre decimal point from a long list of decimalnumbers with efficiency
Ans. 
Use string manipulation to efficiently extract numbers before the decimal point from a list of decimal numbers.
• Split each decimal number by the decimal point and extract the number before it

• Use regular expressions to match and extract numbers before the decimal point

• Iterate through the list and extract numbers using string manipulation functions
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Q1. How do you define model Gini?
Ans. 
Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.
• Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).

• It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.

• A Gini coefficient of 0.5 indicates a model that is no better than random guessing.

• Commonly used in credit
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Q2. How to you train XG boost model
Ans. 
XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.
• Specify parameters for XGBoost model such as learning rate, max depth, and number of trees

• Split data into training and validation sets using train_test_split function

• Fit the XGBoost model on training data using fit method

• Tune hyperparameters using techniques like grid search
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Q1. Projects and Data Science concepts
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Q1. Python and coding skills
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