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Brave AI Lab Interview Questions and Answers
Brave AI Lab Interview Experiences
4 interviews found
Anonymous
Selected
I applied via Internshala and was interviewed in Mar 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Computer Vision Question on detecting coins in an image
- Q2. Easy-Medium level Python Question
(1 Question)
- Q1. Basic AI/ML questions & 1 Medium-Hard Python Question
I applied via Internshala and was interviewed in Feb 2023. There were 3 interview rounds.
You are given an integer list coins representing coins of different denominations and an integer amount representing a total amount of money.
Return the fewest number of coins that you need to make up that amount. If that amount of money cannot be made up by any combination of the coins, return {}.
You may assume that you have an infinite number of each kind of coin.
Example 1: Input: coins = [1, 5, 6, 9, 15], amount = 31
Output: {15:2, 1:1}
Example 2: Input: coins = [1, 5, 6, 9, 15], amount = 100
Output: {15:6, 9:1, 1:1}
(2 Questions)
- Q1. Tell me about yourself
- Ans.
I am a data engineer with experience in designing and implementing data pipelines for large-scale projects.
Experienced in building and optimizing data pipelines using tools like Apache Spark and Hadoop
Proficient in programming languages like Python and SQL
Skilled in data modeling and database design
Familiar with cloud platforms like AWS and GCP
Strong problem-solving and analytical skills
Effective communicator and team ...
- Q2. Salary and working part
Interview Preparation Tips
later next day it was a coding round on Google Meet with screen sharing on
I was not able to get the desired output on Google colllab
So unfortunately I couldn't move ahead.
But it was a very nice behavior from Yash Sir.
Need a strong python coding
So prepare well.
Selected
I appeared for an interview before Dec 2023.
Web Scraping of a novel from a given website and analyse the basic information such as number of words, paragraphs etc. Then comes, deep dive of the novel, who is the lead character etc
(2 Questions)
- Q1. Python Experience
- Q2. When does type error and syntax error occur
- Ans.
Type error occurs when an operation is performed on an object of an inappropriate type, while syntax error occurs when the code is not written according to the syntax rules of the programming language.
Type error occurs when trying to perform an operation on incompatible data types, such as adding a string to an integer.
Syntax error occurs when the code is not written correctly according to the rules of the programming ...
Find minimum number of currency notes and values that sum to a given amount.
(2 Questions)
- Q1. What does a capacitor do
- Ans.
A capacitor stores electrical energy and releases it when needed.
Capacitors are passive electronic components that can store energy in an electric field between two conductive plates.
They are commonly used in electronic circuits to filter out noise, smooth out voltage fluctuations, and store energy for short periods of time.
Capacitors can also be used in timing circuits, oscillators, and power supplies.
Examples of capa...
- Q2. How to draw in auto cad
- Ans.
AutoCAD is a computer-aided design software used for creating 2D and 3D designs.
Open AutoCAD software
Select the appropriate drawing template
Use the drawing tools to create shapes and lines
Add dimensions and annotations
Save the drawing in the desired format
Interview Preparation Tips
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Selected
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
There were verbal, non verbal, reasoning , English and maths questions
(2 Questions)
- Q1. Tell me about your project.
- Ans.
I worked on a project analyzing customer behavior using machine learning algorithms.
Used Python for data preprocessing and analysis
Implemented machine learning models such as decision trees and logistic regression
Performed feature engineering to improve model performance
- Q2. What programming knowledge you have ?
- Ans.
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
Proficient in Python for data analysis and machine learning tasks
Experience with R for statistical analysis and visualization
Knowledge of SQL for querying databases and extracting data
Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
(2 Questions)
- Q1. Where do you stay ?
- Ans.
I currently stay in an apartment in downtown area.
I stay in an apartment in downtown area
My current residence is in a city
I live close to my workplace
- Q2. Tell me about you
- Ans.
I am a data science enthusiast with a strong background in statistics and machine learning.
Background in statistics and machine learning
Passionate about data science
Experience with data analysis tools like Python and R
(1 Question)
- Q1. Basic python and machine learning questions
(1 Question)
- Q1. Salary expectation and working location related questions and why you want to join wipro
Interview Preparation Tips
I applied via Campus Placement
(1 Question)
- Q1. ML and deep learning questions
(2 Questions)
- Q1. Projects discussion
- Q2. Chatgpt architecture
Basic DSA questions will be asked Leetcode Easy to medium
(2 Questions)
- Q1. BERT vs LSTM and their speed
- Ans.
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
- Q2. What is multinomial Naive Bayes theorem
- Ans.
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the ...
Skills evaluated in this interview
Selected
I appeared for an interview in Dec 2023.
English, number system, grammar
Python , data science, machine learning
Python machine learning, natural language precossing
(4 Questions)
- Q1. Python , Data Science, SQL
- Q2. What is python basics, libraries
- Ans.
Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.
Python basics cover syntax, variables, data types, and control structures.
NumPy is a library for numerical computing, providing powerful array operations.
Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.
Matplotlib is a libr...
- Q3. Data science algorithms , and theory
- Q4. Sql querys, cluases
Indian environment, village, college days
(1 Question)
- Q1. Python, data science
Interview Questionnaire
1 Question
- Q1. Where did you work on the specific skill required for the job?
- Ans.
I honed my analytical skills through various projects in my previous roles, focusing on data interpretation and stakeholder communication.
Worked on a project analyzing customer feedback data to improve product features, resulting in a 20% increase in user satisfaction.
Collaborated with cross-functional teams to gather requirements for a new software tool, ensuring alignment with business objectives.
Utilized SQL and Exc...
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