Market Research Future Reports Data Scientist Interview Questions and Answers

Simple Data Science Case Study

Q1. Python knowledge related questions
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Data Science Case Study

Marketing case study

Ops case study for plant set up

Q1. Salary expectation
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Sql, python, Statistics mcq, Aptitude test. These were medium level questions.

Q1. SQL and python, time complexity
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Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...read more
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Remove duplicates from list b, keep elements not in list a, and sort in ascending order.
• Create a set from list b to remove duplicates

• Use list comprehension to keep elements not in list a

• Sort the final list in ascending order
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Q3. SQL question Remove duplicate from a table tab1
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Use the DISTINCT keyword in SQL to remove duplicates from a table.
• Use the SELECT DISTINCT statement to retrieve unique rows from the table.

• Identify the columns that should be used to determine uniqueness.

• Example: SELECT DISTINCT column1, column2 FROM tab1;
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Given 2 case studies on data science and asked different possibilities to improve the models.

How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST

Q1. What was last project, tell me in detail. There were different technical questions related to my project
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Test consisted 7 sections which lasted for more than a hour. There were questions related to coding , sql , analytical questions etc.

1 python coding questions and 2 Sql question

2 case study question

Q1. This was the final round . Technical+HR .
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Q1. Explain any ML model.
Ans. 
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
• Random Forest is a popular machine learning model used for classification and regression tasks.

• It works by creating multiple decision trees during training and outputs the mode of the classes for classification or the average prediction for regression.

• Random Forest is ro...read more
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Q2. Create Dataframe from two lists.
Ans. 
Creating a DataFrame from two lists in Python.
• Import the pandas library

• Create two lists of data

• Use pd.DataFrame() to create a DataFrame from the two lists
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Machine Learning, Metrics

I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.

Q1. Explain the Project undertaken during the research and follow-up questions
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Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...read more
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Answering questions related to data science concepts and techniques.
• Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.

• To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...read more
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Combination logic on python

Q1. Explain classification
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Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
• Classification involves training a model on labeled data to predict the class of new, unseen data points.

• Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.

• Examples of classification tasks include spam email...read more
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