Acuity Knowledge Partners Data Scientist Interview Questions and Answers for Experienced

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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Q1. About work experience
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Q2. Machine learning
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Q1. Past projects of machine learning
Ans. 
Developed a predictive model for customer churn using machine learning algorithms.
• Used Python and scikit-learn library for data preprocessing and model building

• Performed feature engineering to improve model performance

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. Distributed computing and spark questions
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Basic aptitude question from rs aggarwal book.

Basic questions on python loops

Try to put foeth yiur point as there will 13 people in a panel

Medium level of question are there in this section

Basic level of question are there in this section

Q1. Q. What is joints? Q. What is linear search? Q. What is your hobby?
Ans. 
Joints are connections between bones that allow movement and provide support to the body.
• Joints are found throughout the body, such as the knee, elbow, and shoulder.

• They are made up of bones, cartilage, ligaments, and synovial fluid.

• Joints enable various types of movements, including flexion, extension, rotation, and abduction.

• Different types of joints include hinge joints, ball-and-socket joints, and pivot joints.

• Join...read more
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Q2. What is joints and what is your hobby?
Ans. 
I'm not sure how joints relate to data science, but my hobby is playing guitar.
• Joints can refer to the connection between two bones in the body or the way two things are connected or joined together.

• Playing guitar is a hobby that helps me relax and unwind after a long day of working with data.

• While seemingly unrelated to data science, playing an instrument can actually improve cognitive function and creativity, which c
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The aptitude test was easy.just like usual aptitude questions like quants,verbal,reasoning etc....

Q1. Second round was all about one on one video call interview where they will ask to record a video and send it.(managerial questions). Like, why do you need to join mu sigma,why should we hire you....
Ans. Third round was online hr interview. Where there will ask questions based on your resumes.
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Aptitude test consists of 40 questions.

Q1. Introduce yourself with ur projects
Ans. 
I am a data scientist with experience in developing predictive models and analyzing large datasets.
• Developed a predictive model for customer churn prediction using machine learning algorithms

• Analyzed sales data to identify key trends and patterns for business optimization

• Implemented natural language processing techniques for sentiment analysis of customer reviews
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Q2. Problem statement of a case that needs solutions.
Ans. 
Develop a predictive model to identify potential customers for a new product launch.
• Define the target variable and features to be used in the model

• Collect and preprocess relevant data for training the model

• Select an appropriate machine learning algorithm and train the model

• Evaluate the model's performance using metrics like accuracy, precision, and recall

• Use the model to predict potential customers for the new product
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