Ecorys India Interview Questions and Answers

Ask symbols of proof reading, front and back content aspects, book content matter like running head table and figure placement, quote and general style aspects like T1, T2, T3, T4 and sample books. Ask how to handle math code title for latec and 3b2 titles. How to read zero error pages and TOC blind folio pages etc.

I will give one simple and sample pages for reading and styling aspects and get the result

Coding test only conduct for candidate who have coming for paginators not for readers.

For experienced candidates go to meet the GD for concered department experts not for freshers

Q1. What about you? What is your native place? Why you select this field? What's your previous experience? Are you do extra OT work for job pressure times. And ready to work all shifts. What is your expected...read more
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Q2. What is your father and native place?
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Q3. Why should you select this field?
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Q4. What is your educational qualification and experience
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Q5. Ready to work OT for job pressure times
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Q6. Ready to work all shifts
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Q7. What is your expected salary
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Q8. Finnally tell company rules and regulations and company providing benefits for employees.
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Q1. Tell me about yourself
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Q2. Why do you choose this place
Ans. 
I chose this place because of its reputation for providing excellent international voice process services.
• Reputation for excellent international voice process services

• Positive feedback from current employees

• Opportunities for growth and development

• Convenient location for commuting

• Positive work culture and environment
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Aptitude, logical Reasoning, English grammar.

Q1. Questions based on what you written in your resume.
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Q2. Well prepared your resume don't write anything that you don't know about your resume.
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Q1. Here you have to listen carefully what the system is saying in english.
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Q2. This is round will test your listening skills, How clearly you can read a sentence and your communication skills.
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It's a easy round. This round will be conducted through Microsoft teams. Just confident and expressive while speaking that's it.

Q1. How do you resolve critical issues?
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Q2. How do to handle stakeholder's interests?
Ans. 
Handle stakeholder's interests by understanding their needs, communicating effectively, and delivering results.
• Understand the stakeholders' needs and priorities

• Communicate regularly and effectively with stakeholders

• Involve stakeholders in decision-making processes

• Deliver results that align with stakeholders' interests

• Manage expectations and address concerns promptly
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SQL Rank functions.
Python easy to medium DSA programs.
Pyspark Concepts and questions.

Q1. Explain one of your projects in End to End
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Q1. What are some of the analytical functions available in SQL?
Ans. 
Analytical functions in SQL are used to perform calculations on sets of rows.
• Aggregate functions like SUM, AVG, COUNT, MIN, MAX

• Window functions like ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD

• Ranking functions like NTILE, PERCENT_RANK, CUME_DIST

• Statistical functions like STDDEV, VARIANCE

• String functions like CONCAT, SUBSTRING, TRIM
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Q1. Median of 2 sorted array
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Q2. Linux commands for chmod
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Q3. Features of python
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Q4. Deepcopy and shallowcopy
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Q1. What is minaral and different by metals?
Ans. 
Minerals are naturally occurring inorganic substances with a definite chemical composition, while metals are a type of mineral that have high electrical conductivity and luster.
• Minerals are inorganic substances found in nature, while metals are a subset of minerals with specific properties.

• Metals have high electrical conductivity, malleability, and luster, distinguishing them from other minerals.

• Examples of metals incl...read more
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Q2. What is spong iron?
Ans. 
Sponge iron is a metallic product produced through the direct reduction of iron ore in the form of lumps, pellets, or fines.
• Sponge iron is also known as direct reduced iron (DRI).

• It is produced by removing oxygen from iron ore through a chemical reaction using natural gas or coal as a reducing agent.

• Sponge iron is used as a raw material in the production of steel through the electric arc furnace (EAF) or basic oxygen f
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Q1. What is whrb in rotary kiln?
Ans. 
WHRB in rotary kiln stands for Waste Heat Recovery Boiler, which is used to recover heat from the exhaust gases of the kiln.
• WHRB is a type of boiler that captures and reuses the heat energy from the exhaust gases of a rotary kiln.

• It helps in improving the overall energy efficiency of the kiln operation.

• The recovered heat can be used for various purposes such as preheating combustion air or generating steam for power ge...read more
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Q2. Explain Iron smelting process ?
Ans. 
Iron smelting process is a method of extracting iron from its ore using heat and reducing agents.
• Iron ore is heated in a blast furnace with coke (carbon) and limestone as reducing agents.

• The coke burns to produce carbon monoxide, which reacts with the iron ore to release the iron metal.

• The limestone helps to remove impurities from the iron ore, forming slag as a byproduct.

• The molten iron is then collected at the bottom...read more
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Q1. Normal discussion about experience and salary expectations
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Q2. Scheduled for 2nd round
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Q1. 2 interviewers, 1 of them who’s leaving the organisation in few days. Asked me about how would you strategise the campaigns and tell me about your successful campaign?
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Q1. This round was final with a Senior Manager as told by the HR
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Q2. The question returned to strategies again for the brand I have worked, after answering all the questions. The conversation derailed by the interviewers limiting technical knowledge. Wasted my valuable 50 m...read more
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Q1. This round supposed to be feedback round if hired then salary discussion, however, they conducted 1 more technical round as they had trust issues due to their lacking knowledge.
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Q2. Two Musketeers, took the round. One leaving the company thinking CEO of the company with lots of attitude conducted the interview with a live technical round over screen sharing. At last the CEO didn’t lik...read more
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30 easy aptitude questions.

Q1. Video analysis. Summarize the video in bullet points.
Ans. 
Video analysis involves summarizing the content of a video in bullet points.
• Identify key themes or topics discussed in the video

• Highlight important events or moments

• Note any key statistics or data presented

• Summarize the main conclusions or takeaways

• Include any notable visuals or graphics shown
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Q2. Summarize all the examples you saw in the video.
Ans. 
The video showcased various examples of data analysis and visualization techniques.
• Exploratory data analysis using histograms and scatter plots

• Predictive modeling using regression and classification algorithms

• Time series analysis for forecasting future trends

• Text mining for sentiment analysis

• Clustering techniques for customer segmentation
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Q3. Tell me about yourself
Ans. 
I am a recent graduate with a degree in Computer Science and a passion for data analysis and machine learning.
• Recent graduate with a degree in Computer Science

• Passionate about data analysis and machine learning

• Experience with programming languages like Python and R

• Completed projects involving data visualization and predictive modeling
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Q4. Discussion on projects.
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Q5. What do you know about mu Sigma?
Ans. 
Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.
• Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.

• They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.

• Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.

• The compan...read more
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Q6. Why do you want to join Mu Sigma?
Ans. 
I want to join Mu Sigma because of their reputation for providing challenging and impactful data science projects.
• Mu Sigma is known for working on cutting-edge data science projects with top clients

• I am excited about the opportunity to work with a diverse team of data scientists and learn from their expertise

• I believe Mu Sigma's focus on innovation and problem-solving aligns with my own career goals
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Q7. SQL and technical questions based on your projects or tech stack.
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Q8. What challenges you faced during your projects?
Ans. 
I faced challenges in data cleaning, feature engineering, and model optimization during my projects.
• Data cleaning: Dealing with missing values, outliers, and inconsistencies in the data.

• Feature engineering: Creating new features from existing data to improve model performance.

• Model optimization: Tuning hyperparameters and selecting the best algorithm for the problem.

• Example: In a project predicting customer churn, I ha...read more
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Q1. Self introduction and explain your hobbies
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Q2. They will check your communication level
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Q1. Self introduction with aptitude questions
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Q2. They will check communication
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