Binmile Interview Questions, Process, and Tips

Q1. Question on knowledge of microservices, js basic questions and about database connection string.
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Q2. A dsa question(easy)
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Q1. Talked about projects, backend architecture, circular linked list, nosql vs sql.
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Q2. Also asked why leaving previous company, if given different stack or work timings are not suitable for u.
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Q1. Discussion with ceo asked college, and what are u scared of in life, what other thing u are scared of (stupid question), I said I might not keep growing and learning and his third question was why be scare...read more
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Q1. Can you introduce yourself?
Ans. 
I am a data research executive with a background in statistics and experience in analyzing large datasets.
• Background in statistics

• Experience in analyzing large datasets

• Proficient in data research tools like Python, R, and SQL
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Q2. Can you provide a brief explanation of the job role and its responsibilities?
Ans. 
Data Research Executive is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions.
• Collecting data from various sources such as surveys, interviews, and databases

• Analyzing data using statistical software to identify trends and patterns

• Interpreting data to provide insights and recommendations to stakeholders

• Creating reports and presentations to communicate findings

• Ensur...read more
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Q3. What types of tools are used for data analysis?
Ans. 
Various tools such as Excel, Python, R, Tableau, and Power BI are commonly used for data analysis.
• Excel is commonly used for basic data analysis and visualization.

• Python and R are popular programming languages for statistical analysis and machine learning.

• Tableau and Power BI are used for creating interactive visualizations and dashboards.

• SQL is essential for querying databases and extracting relevant data.
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Q4. Is it a paid tool or does it offer a free demo?
Ans. 
The tool offers a free demo before purchasing the paid version.
• The tool offers a free demo for users to try out its features before committing to a paid subscription.

• The free demo may have limited functionality compared to the paid version.

• Users can upgrade to the paid version for access to additional features and support.

• Examples of tools that offer free demos include Tableau, IBM SPSS, and SEMrush.
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Q5. How much data do you extract on a daily or weekly basis?
Ans. 
I extract an average of 10,000 data points daily for analysis and reporting.
• On average, I extract around 10,000 data points daily for analysis.

• The amount of data extracted may vary depending on the project or research needs.

• I use various tools and software to efficiently extract and manage data.

• Examples of data sources include databases, APIs, web scraping, and surveys.
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Q1. Can you introduce yourself?
Ans. 
I am a data research executive with a background in statistics and experience in analyzing large datasets.
• Background in statistics

• Experience in analyzing large datasets

• Proficient in data research tools such as Python, R, and SQL
Answered by AI
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Q2. How do you extract data from LinkedIn, and what tools do you use for this purpose?
Ans. 
I use web scraping tools like Octoparse or Import.io to extract data from LinkedIn.
• Use web scraping tools like Octoparse or Import.io to extract data from LinkedIn

• Identify the specific data you want to extract (e.g. job titles, company names, contact information)

• Set up the scraping tool to navigate through LinkedIn profiles and extract the desired data

• Export the extracted data into a usable format like CSV or Excel
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Q3. Are you comfortable with meeting targets in a target-based job?
Ans. 
Yes, I am comfortable with meeting targets in a target-based job.
• I have a proven track record of meeting and exceeding targets in my previous roles.

• I am highly motivated and thrive in a fast-paced, goal-oriented environment.

• I am skilled at setting realistic targets and developing strategies to achieve them.

• I am comfortable with the pressure that comes with working towards targets and see it as a challenge to overcome.
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They shortlisted my CV

Recruiter shared assignment with me

Q1. Meeting with Manager
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Q2. Discussion about the role
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Q1. Salary Discussion round
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Basic Reasoning and SQL query questions

Q1. Git , Github Pipelines
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Q2. Webpack and React compilers
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Q3. What is babel and how it works?
Ans. 
Babel is a JavaScript compiler that converts modern JavaScript code into backward-compatible versions for different environments.
• Babel allows developers to write code using the latest ECMAScript features without worrying about browser compatibility.

• It transforms code written in ES6/ES7 into ES5, which is supported by older browsers.

• Babel plugins can be used to add additional features or transform code in specific ways.

• ...read more
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Q1. DSA question on strings topic
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Q2. DSA question on merge sort
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Q1. Salary discusssion and basic questions
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