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I appeared for an interview in Dec 2016.
I tend to be too organized and structured, which can annoy my friends at times.
My friends sometimes find my need for planning and structure to be excessive
I can be inflexible when it comes to deviating from my plans
My attention to detail can come across as nitpicky to some
I prioritize efficiency over spontaneity, which can be frustrating for my more laid-back friends
I don't have the available data to answer this question.
Need data on number of barbers in Kanpur
Need data on average revenue per barber
Need data on number of working days in a year
Need data on number of customers per barber per day
To open an e-commerce website like Flipkart, one must keep in mind various factors such as target audience, product range, user experience, logistics, and marketing.
Identify the target audience and their preferences
Offer a wide range of products to cater to different needs
Ensure a seamless user experience with easy navigation and quick loading time
Establish a robust logistics network for timely delivery and hassle-free...
It depends on the job profile and its alignment with my career goals.
I would consider the job profile and evaluate its alignment with my career goals.
I would assess the job responsibilities and the skills required for the role.
I would also consider the company culture and work environment.
If the job profile aligns with my career goals and offers growth opportunities, I would accept it.
However, if it does not align with...
I would have pursued a certification in data science earlier.
I should have taken a course in data science during my undergraduate studies.
I could have pursued a certification in data science while working as a business analyst.
Learning data science earlier would have opened up more opportunities for me in the field.
I could have gained more experience in data analysis and visualization.
I could have applied for more adva
I applied via LinkedIn and was interviewed in Jun 2023. There were 2 interview rounds.
SQL queries for JOINS
Use INNER JOIN to retrieve rows from both tables that have matching values
Use LEFT JOIN to retrieve all rows from the left table and the matched rows from the right table
Use RIGHT JOIN to retrieve all rows from the right table and the matched rows from the left table
Use FULL JOIN to retrieve rows when there is a match in either table
The query is asking for metrics provided in a specific sheet.
Identify the specific sheet being referred to in the question
Review the metrics listed in the sheet
Analyze the relevance of each metric to the query
This is a case study round revolve around a business problem in which we have to analyse data driven solutions.
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
General aptitude questions and excel questions
I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
Quantitative aptitude, verbal ability, critical reasoning
Use SQL query to find store with highest Average Order Value (AOV).
Use GROUP BY clause to group by store
Calculate AOV by dividing total revenue by total orders
Use ORDER BY and LIMIT to find store with highest AOV
I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.
Case studies about Navi UPI
Case studies about Navi UPI App
I applied via Recruitment Consulltant and was interviewed before Jul 2022. There were 3 interview rounds.
Guesstimates, business case study
Data Representation, Logical Reasoning
Use a data migration tool to copy the dataset efficiently.
Utilize a data migration tool like AWS Data Pipeline, Apache Nifi, or Talend to copy the dataset.
Break down the dataset into smaller chunks to avoid overwhelming the system.
Ensure proper data validation and error handling during the copying process.
Consider using parallel processing to speed up the copying process.
Monitor the progress of the dataset copying to t
No, data analysis job is not overrated as it plays a crucial role in decision-making and problem-solving.
Data analysis helps in identifying trends and patterns in data
It provides valuable insights for businesses to make informed decisions
Data analysis is essential for optimizing processes and improving efficiency
It can uncover hidden opportunities and potential risks
Many industries rely on data analysis for strategic p
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