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Binmile Interview Questions, Process, and Tips
Top Binmile Interview Questions and Answers
- Q1. How much data do you extract on a daily or weekly basis?asked in Data Research Executive interview
- Q2. - Given an array we have to transform it differently.asked in Technical Lead interview
- Q3. What are Scrum Ceremoniesasked in Business Analyst interview
Binmile Interview Experiences
5 interviews found
Selected
I was interviewed in Dec 2024.
(5 Questions)
- 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
- 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...
- 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.
- 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.
- 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.
(3 Questions)
- 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
- 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
- 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.
Data Research Executive Interview Questions asked at other Companies
Selected
I applied via LinkedIn and was interviewed in Jul 2024. There were 4 interview rounds.
They shortlisted my CV
Recruiter shared assignment with me
(2 Questions)
- Q1. Meeting with Manager
- Q2. Discussion about the role
(1 Question)
- Q1. Salary Discussion round
Interview Preparation Tips
Multimedia Designer Interview Questions asked at other Companies
Selected
I applied via Walk-in and was interviewed in Jan 2024. There were 4 interview rounds.
Basic Reasoning and SQL query questions
(3 Questions)
- Q1. Git , Github Pipelines
- Q2. Webpack and React compilers
- 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.
...
(2 Questions)
- Q1. DSA question on strings topic
- Q2. DSA question on merge sort
(1 Question)
- Q1. Salary discusssion and basic questions
Interview Preparation Tips
- React
- Node
- Express
SDE Interview Questions asked at other Companies
What people are saying about Binmile
I applied via Naukri.com and was interviewed in Feb 2024. There were 2 interview rounds.
(2 Questions)
- Q1. - Performance Optimasion In React.
- Ans.
Performance optimization in React involves minimizing render cycles, reducing unnecessary re-renders, and optimizing component lifecycles.
Use shouldComponentUpdate or React.memo to prevent unnecessary re-renders.
Avoid binding functions in render method to prevent creating new function instances on each render.
Use PureComponent for class components to perform shallow comparison of props and state.
Implement lazy loading ...
- Q2. - Given an array we have to transform it differently.
- Ans.
Transform array of strings in a different way
Iterate through the array and apply the transformation logic
Consider using map or forEach method for transformation
Example: Transform each string to uppercase
(1 Question)
- Q1. - They generally asked for ORM and then asked me how internally ORM is able to switch to raw query
Interview Preparation Tips
Skills evaluated in this interview
Technical Lead Interview Questions asked at other Companies
Binmile interview questions for popular designations
Deepanshu Aggarwal
(2 Questions)
- Q1. What are Scrum Ceremonies
- Ans.
Scrum ceremonies are regular meetings in Agile methodology to facilitate communication, collaboration, and decision-making within the team.
Sprint Planning: At the beginning of each sprint, the team plans the work to be done.
Daily Stand-up: A short daily meeting where team members discuss progress, plans, and any obstacles.
Sprint Review: At the end of each sprint, the team demonstrates the completed work to stakeholders...
- Q2. Difference between Agile and Waterfall
- Ans.
Agile is iterative and flexible, while Waterfall is sequential and rigid.
Agile focuses on delivering working software in short iterations, while Waterfall follows a linear sequential approach.
Agile allows for changes and adaptations throughout the project, while Waterfall requires detailed planning upfront.
Agile promotes collaboration and communication within cross-functional teams, while Waterfall has distinct phases ...
Skills evaluated in this interview
Business Analyst Interview Questions asked at other Companies
Interview questions from similar companies
Selected
A question that is both tricky and simple.
(1 Question)
- Q1. Questions about biochemistry
Questions based on both numerical data and case studies.
(2 Questions)
- Q1. Can you tell me about yourself?
- Q2. What interests you in working for this company?
- Ans.
I am interested in working for this company because of its innovative projects and strong reputation in the industry.
Innovative projects that challenge me to grow as a programmer
Strong reputation in the industry for quality work
Opportunities for career advancement and professional development
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(4 Questions)
- Q1. All employees having same salary in the smae department sql and pysprk
- Q2. How to create pipeline in databricks
- Ans.
To create a pipeline in Databricks, you can use Databricks Jobs or Apache Airflow for orchestration.
Use Databricks Jobs to create a pipeline by scheduling notebooks or Spark jobs.
Utilize Apache Airflow for more complex pipeline orchestration with dependencies and monitoring.
Leverage Databricks Delta for managing data pipelines with ACID transactions and versioning.
- Q3. Palindrome, 2nd char in every word make is to upper case, sql rank and dense rank releated questions , given 2 tables country and city we need to calculate total population in each continent by joining the...
- Q4. String manuplation questions inpython
Interview Preparation Tips
(4 Questions)
- Q1. What is an abstract class?
- Ans.
An abstract class is a class that cannot be instantiated and may contain abstract methods that must be implemented by its subclasses.
Cannot be instantiated directly
May contain abstract methods
Used as a blueprint for other classes
- Q2. What is abstraction?
- Ans.
Abstraction is the process of hiding complex details and showing only the essential features of an object or system.
Abstraction allows us to focus on what an object does, rather than how it does it
It helps in simplifying complex systems by breaking them down into smaller, more manageable parts
Examples of abstraction include using a car without needing to understand its internal combustion engine, or using a smartphone
- Q3. Best sorting algo?time complexity of it?
- Ans.
QuickSort is one of the best sorting algorithms with an average time complexity of O(n log n).
QuickSort is a divide and conquer algorithm that works by selecting a 'pivot' element and partitioning the array around the pivot.
It has an average time complexity of O(n log n) and a worst-case time complexity of O(n^2).
Example: ['apple', 'banana', 'cherry', 'date', 'fig'] can be sorted using QuickSort.
Example: ['3', '1', '4'...
- Q4. You have been provided a sorted list time complexity achieved after we apply bubble sorting
- Ans.
Bubble sorting has a time complexity of O(n^2) for a sorted list.
Bubble sorting has a worst-case time complexity of O(n^2) for a sorted list.
The time complexity does not change even if the list is already sorted.
Example: If we have a sorted list of size n, bubble sorting will still take O(n^2) time.
(1 Question)
- Q1. Have you ever been to a state other than jharkhand?
- Ans.
Yes, I have been to multiple states other than Jharkhand.
I have traveled to states like Maharashtra, Karnataka, and Tamil Nadu for work and leisure.
I have visited tourist destinations in states like Rajasthan, Kerala, and Himachal Pradesh.
I have family in states like Uttar Pradesh, Bihar, and West Bengal, which I have visited multiple times.
QA Enginner I2 Interview Questions & Answers
Talentica Software
Mohd Aatif Khan
posted on 17 Jan 2025
Selected
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
(2 Questions)
- Q1. What is the Java code for reversing a linked list?
- Ans.
Reversing a linked list in Java using iterative approach.
Create three pointers: prev, current, and next.
Iterate through the list, updating pointers to reverse the links.
Return the new head of the reversed list.
- Q2. How do you handle the StaleElementReferenceException in your code?
- Ans.
Handle StaleElementReferenceException by re-locating the element before interacting with it.
Use try-catch block to catch StaleElementReferenceException
Re-locate the element using findElement method before interacting with it
Use WebDriverWait to wait for the element to become stale
(2 Questions)
- Q1. Can you describe your project experiences?
- Ans.
I have worked on various projects involving test automation, performance testing, and quality assurance processes.
Developed automated test scripts using Selenium WebDriver for web applications
Conducted performance testing using JMeter to identify bottlenecks and optimize system performance
Implemented quality assurance processes to ensure software meets requirements and standards
Collaborated with cross-functional teams ...
- Q2. What is your strategy for designing an automation framework?
- Ans.
My strategy for designing an automation framework involves identifying key functionalities, selecting appropriate tools, creating reusable components, implementing robust error handling, and integrating with CI/CD pipelines.
Identify key functionalities to be automated based on priority and impact on testing.
Select appropriate tools and technologies based on the application under test and team expertise.
Create reusable ...
Data Analyst Interview Questions & Answers
Nineleaps Technology Solutions
Anonymous
posted on 17 Dec 2024
I applied via Instahyre and was interviewed in Nov 2024. There was 1 interview round.
(4 Questions)
- Q1. Coalesce, SQL Order of Execution
- Q2. Given a table with fields(id, name, salary, managerId) find out the managers who have atleast 5 reportees under him/her.
- Ans.
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
Write a SQL query to count number of reportees for each manager using GROUP BY clause
Add HAVING clause to filter out managers with atleast 5 reportees
Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
- Q3. How to manage large datasets in python
- Ans.
Use libraries like pandas and dask to efficiently manage large datasets in Python.
Use pandas library for data manipulation and analysis.
Use dask library for parallel computing and out-of-core processing.
Optimize memory usage by loading data in chunks or using data types efficiently.
Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
- Q4. Name few of the commonly used python libraries used by DA
- Ans.
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
Pandas - used for data manipulation and analysis
NumPy - used for numerical computing and working with arrays
Matplotlib - used for data visualization
Scikit-learn - used for machine learning and data mining
Interview Preparation Tips
- SQL
- Python
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