Ignitarium Technology Solutions Data Scientist Interview Questions and Answers

Q1. Python Boosting Random Forest NLP Cnn
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Q1. Scenario based questions
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Q1. What is Adaboost?
Ans. 
Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.
• Adaboost stands for Adaptive Boosting.

• It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.

• The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.

• Example: Adaboost is commonly used in face det
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Q2. Print the binary tree in different order
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Printing a binary tree in different orders
• Use inorder traversal to print the binary tree in ascending order

• Use preorder traversal to print the binary tree in root-left-right order

• Use postorder traversal to print the binary tree in left-right-root order
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Q1. Basics of r programming, dplyr and ggplot2
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Q2. RShiny app on spot with given data
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Few standard dsa questions were asked.

Q1. Explain projects
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Projects are specific tasks or assignments that require a set of skills and resources to achieve a particular goal or outcome.
• Projects involve defining objectives and deliverables

• They require planning, execution, and monitoring

• Projects often have timelines and budgets

• Examples: Data analysis project to identify customer trends, Project to implement a new software system
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Q2. Introduce urself
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I am a data analyst with a strong background in statistics and data visualization.
• I have a Bachelor's degree in Statistics from XYZ University.

• I have 3 years of experience working as a data analyst at ABC Company.

• Proficient in using tools like Excel, SQL, and Tableau for data analysis.

• I have experience in creating reports and dashboards to present data insights to stakeholders.
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Q1. Very Easy sql questions
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Q2. Very eeasy basic python question
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Q3. Arey bhai access karne de
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30 MCQ asked in Big Data

Q1. Simple sql question on group by clause, simple coding question ,
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Q2. Finding kth largest element in array
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Finding kth largest element in array
• Sort the array in descending order and return the element at index k-1

• Use a max heap to find the kth largest element

• Implement quickselect algorithm to find the kth largest element
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Q1. Basic questions.
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Q2. What you will do with huge volume of data.
Ans. 
I will use various techniques like data preprocessing, storage optimization, and distributed computing to handle and analyze the huge volume of data.
• Implement data preprocessing techniques like data cleaning, data transformation, and data integration to ensure data quality.

• Utilize storage optimization techniques like data compression and partitioning to efficiently store and retrieve large volumes of data.

• Leverage dist...read more
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Q1. Pyspark questions on syntax
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Q2. Repartition and coalesce difference
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Repartition increases or decreases the number of partitions in a DataFrame, while coalesce only decreases the number of partitions.
• Repartition involves shuffling data across the network, while coalesce tries to minimize shuffling by only creating new partitions if necessary.

• Repartition is typically used when increasing the number of partitions for parallelism, while coalesce is used when decreasing partitions to optimi...read more
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Pyspark, python, sql

Q1. Basic about python
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