Ipsos Analytics Manager Interview Questions and Answers

Q1. Explain any ML model.
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Q2. Create Dataframe from two lists.
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Along with coding round..there's a communication test at the end

Q1. There's ntg to ask about technical for me..
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Q2. Behavioural questions
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Excel data analytics case

Q1. Data analytics, data visualisation tools
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Given 6 coding qns related to java and html and also ML.

Q1. Explain abt projects and qns related to ML.
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Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
• Developing a recommendation system for an e-commerce website

• Predicting customer churn for a telecommunications company

• Classifying images in a computer vision project

• Anomaly detection in network traffic for cybersecurity

• Natural language processing for sentiment analysis
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Q1. Basic hr qns why straive?
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Q1. Tell me about yourself
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I am a Senior Data Analyst with 5+ years of experience in analyzing complex data sets and providing actionable insights.
• 5+ years of experience in data analysis

• Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• Strong problem-solving skills and ability to communicate findings to non-technical stakeholders
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Q2. Asked about recent project
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Q3. Types of join in sql
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Types of join in SQL include inner join, outer join, left join, right join, and full join.
• Inner join: Returns rows when there is a match in both tables

• Outer join: Returns all rows when there is a match in one of the tables

• Left join: Returns all rows from the left table and the matched rows from the right table

• Right join: Returns all rows from the right table and the matched rows from the left table

• Full join: Returns ro
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Q4. Case when statement questions
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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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