Meesho Data Entry Operator Interview Questions and Answers

Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
Ans. 
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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SQL and Python data analysis questions

Q1. How do you match the data in different columns.
Ans. 
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
• Use string matching techniques like exact match, partial match, or fuzzy matching.

• Apply data cleaning and preprocessing techniques to standardize the data before matching.

• Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.

• Consider using database join...read more
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Quant, LR, puzzles, cat based level 2 questions

Q1. Difference between tuple nd list
Ans. 
Tuple is immutable and ordered, while list is mutable and ordered in Python.
• Tuple is created using parentheses () while list is created using square brackets []

• Tuple elements cannot be changed once assigned, while list elements can be modified

• Tuple is faster than list for iteration and accessing elements

• Example: tuple = (1, 2, 3) and list = [1, 2, 3]
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Q2. How will you cut a cake into 8 equal pieces by 3 cuts
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Q1. Walk me through ur cv
Ans. 
I have a strong background in data analysis with experience in various industries.
• Bachelor's degree in Statistics with a focus on data analysis

• Proficient in SQL, Python, and data visualization tools like Tableau

• Experience working with large datasets and conducting statistical analysis

• Completed internships at XYZ Company and ABC Organization

• Presented findings at industry conferences
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Q2. What have learnt from this experience?
Ans. 
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
• Developed strong analytical skills through hands-on experience with various data analysis tools and techniques

• Improved ability to identify trends, patterns, and outliers in data sets

• Enhanced communication skills by presenting findings and recommendations to stakeholders

• Learned to collaborate with team memb
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Q1. The hr scheduled a call with the analytics manager ,who asked about my experience and general details ,some background about projects and previous work ,why this job etc .30-40 minutes conversation.
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Q2. Just a casual brief conversation
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Q1. Second round was with a senior analyst ,who asked 5-6 sql related questions , problems to solve etc ,tables to create ,joins ,window functions etc basic sql
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Q2. Very friendly interviewer , you are allowed to google the syntax
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Q1. Another round with the analytics head , case study ,problem solving ,logical reasoning etc.
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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Q1. What’s your previous experience
Ans. 
I have 3 years of experience as a data analyst in the finance industry.
• Worked with large datasets to extract meaningful insights

• Performed data cleaning, transformation, and visualization

• Created and maintained dashboards and reports for stakeholders

• Conducted statistical analysis and built predictive models

• Collaborated with cross-functional teams to identify business opportunities
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Q2. What’s your skills for the current role
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I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
• Proficient in statistical analysis techniques

• Skilled in data visualization using tools like Tableau

• Strong programming skills in Python and SQL

• Experience with data cleaning and preprocessing

• Ability to interpret and communicate insights from data

• Familiarity with machin...read more
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