Euromonitor Research And Consultingindia Interview Questions and Answers

Case Study on HR and People Management

Q1. Tell me something about your self
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Q2. Talk about your experience
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Basic Leetcode Questions

Q1. Basic NLP Questions
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Q2. What is IF-IDF and why used?
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IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
• IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.

• It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.

• IF-IDF helps in identifying the most relevant words in ...read more
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Q3. Word Embedding?
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Q1. API and production level questions
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Q1. Design a questionnaire, Process related question on project management, questions around conflicts within a team, DP related questions
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Q2. Some questions were outright dumb. The interviewer was trying to prove his point with some silly responses.
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Editing a paragraph.

Q1. Salary expectations
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Q2. Work from home culture
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Work from home culture has become increasingly popular due to advancements in technology and the current global situation.
• Increased flexibility in work hours and location

• Improved work-life balance for employees

• Cost savings for both employees and employers

• Challenges in communication and collaboration may arise

• Importance of setting boundaries between work and personal life
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Q1. Quality measurement
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Q1. Quality measurement quantity
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Q2. Coal sample collection preparation
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Q3. Coaling coadring
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Q4. Preparation of coal
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Preparation of coal involves several steps to remove impurities and improve its quality.
• Coal is first mined from underground or surface mines.

• It is then transported to a coal preparation plant.

• At the plant, coal is crushed, washed, and sorted into different sizes.

• Impurities like rocks, dirt, and sulfur are removed through various processes.

• The cleaned coal is then stored and transported to power plants or other users.
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Q5. Coal coling coadring
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Q6. Coal the grading & GCV Average variable
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Q7. Source of coal good information
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There are various sources of coal, including mines, coal seams, and coal deposits.
• Coal can be sourced from underground mines, where miners extract coal from the earth.

• Coal can also be sourced from open-pit mines, where large machinery is used to remove coal from the surface.

• Coal seams, which are layers of coal within rock formations, can be another source of coal.

• Coal deposits, which are accumulations of coal in specif...read more
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Q1. More into Manual and Automation Qustions
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Q1. Manual and Automation related Question and Preview Work Experience
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Q1. Preview project related questions
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Duration was around 105 minutes
aptitude, python and java were sections in this round

Q1. What are the languages based in sql
Ans. 
Languages based in SQL include T-SQL, PL/SQL, and SQL/PSM.
• T-SQL (Transact-SQL) is Microsoft's proprietary extension to SQL used in SQL Server.

• PL/SQL (Procedural Language/SQL) is Oracle's procedural language extension to SQL.

• SQL/PSM (SQL/Persistent Stored Modules) is a standard for defining stored procedures and functions in SQL.
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Q2. What do you understand by oops concepts
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Object-oriented programming concepts that focus on classes and objects
• Encapsulation: bundling data and methods that operate on the data within a single unit

• Inheritance: ability of a class to inherit properties and behavior from another class

• Polymorphism: ability to present the same interface for different data types

• Abstraction: hiding the complex implementation details and showing only the necessary features
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Q3. Sql queries was asked to find the second highest salary
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Q4. Java string question based on manipulation
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Q1. Tell me about yourself
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Q2. What are the projects that you have done
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Q3. What are your hobbies and interest and what were your achievement in your school life and college life and was asked about the background check focused on candidate's qualities
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Q1. Project explanation, tell me about yourself
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I am a data scientist with experience in machine learning and data analysis.
• I have worked on projects involving predictive modeling, natural language processing, and computer vision.

• I am proficient in programming languages such as Python and R, and have experience with tools like TensorFlow and Tableau.

• I have a strong background in statistics and mathematics, and am able to communicate complex ideas to both technical a
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Q1. About the company, about previous company
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Q1. Ensemble technique, difference between bagging and boosting and all their models
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Bagging and boosting are ensemble techniques used to improve model performance by combining multiple models.
• Bagging involves training multiple models on different subsets of the data and combining their predictions through averaging or voting.

• Boosting involves iteratively training models on the same data, with each subsequent model focusing on the misclassified samples of the previous model.

• Examples of bagging models i...read more
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Q2. What is random in random forest, case study question what would u suggest to increase the revenue of the store
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Q3. RFM analysis, customer segmentation, explain project written in your resume. Just go through the dataset in the detailed way like what are the columns and dependent variable etc they asked in detail.
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Q4. Tell me about ur overall professional journey
Ans. 
I have had a diverse professional journey with experience in various industries.
• Started as a software engineer at a tech startup

• Moved to a management consulting firm as a data analyst

• Transitioned to a healthcare company as a data scientist

• Currently working in a fintech company as a senior data scientist

• Have experience in machine learning, data visualization, and project management
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