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Adagrad AI Interview Questions, Process, and Tips

Updated 18 Aug 2023

Top Adagrad AI Interview Questions and Answers

View all 6 questions

Adagrad AI Interview Experiences

2 interviews found

I applied via LinkedIn and was interviewed in Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Assignment 

Implement a model improvement using a C++ API of Pytorch.

Round 3 - One-on-one 

(2 Questions)

  • Q1. Rotate an image in your choice of language
  • Ans. 

    To rotate an image in Python, use the Pillow library's rotate() method.

    • Import the Image module from the Pillow library

    • Open the image using the open() method

    • Use the rotate() method to rotate the image by the desired angle

    • Save the rotated image using the save() method

  • Answered by AI
  • Q2. A breadth first search problem
  • Ans. 

    Breadth first search problem

    • BFS is a graph traversal algorithm that visits all the vertices of a graph in breadth-first order

    • It uses a queue to keep track of the nodes to be visited next

    • BFS can be used to find the shortest path between two nodes in an unweighted graph

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Questions based on my past jobs, past experience and behaviour.

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't leave any gaps in your knowledge, as far as you can see. Don't mention topics you're not in full control of.

Skills evaluated in this interview

Top Adagrad AI Computer Vision Engineer Interview Questions and Answers

Q1. Rotate an image in your choice of language
View answer (1)

Computer Vision Engineer Interview Questions asked at other Companies

Q1. Can you train model using MATLAB for image classifications?
View answer (1)
Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Feb 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Some OpenCV problems

Round 3 - Technical 

(2 Questions)

  • Q1. Why are activation functions used
  • Ans. 

    Activation functions are used to introduce non-linearity into neural networks, allowing them to learn complex patterns and relationships.

    • Activation functions help neural networks to learn complex patterns and relationships by introducing non-linearity.

    • They help in controlling the output of a neuron, ensuring that it falls within a desired range.

    • Common activation functions include ReLU, Sigmoid, Tanh, and Leaky ReLU.

    • Wit...

  • Answered by AI
  • Q2. What is learning rate
  • Ans. 

    Learning rate is a hyperparameter that controls how much we are adjusting the weights of our network with respect to the loss gradient.

    • Learning rate determines the size of the steps taken during optimization.

    • A high learning rate can cause the model to overshoot the optimal weights, while a low learning rate can result in slow convergence.

    • Common learning rate values are 0.1, 0.01, 0.001, etc.

    • Learning rate can be adjuste...

  • Answered by AI
Round 4 - One-on-one 

(3 Questions)

  • Q1. What is the difference between CNN and RNN
  • Ans. 

    CNN is used for image recognition while RNN is used for sequence data like text or speech.

    • CNN is Convolutional Neural Network, used for image recognition tasks.

    • RNN is Recurrent Neural Network, used for sequence data like text or speech.

    • CNN has convolutional layers for feature extraction, while RNN has recurrent connections for sequential data processing.

    • CNN is good at capturing spatial dependencies in data, while RNN i...

  • Answered by AI
  • Q2. Is Logloss function differentiable
  • Ans. 

    Yes, Logloss function is differentiable.

    • Logloss function is differentiable as it is a smooth and continuous function.

    • The derivative of Logloss function can be calculated using calculus.

    • Differentiability is important for optimization algorithms like gradient descent to converge smoothly.

    • Example: The derivative of Logloss function for binary classification is (predicted probability - actual label).

  • Answered by AI
  • Q3. Questions on YOLO models

Interview Preparation Tips

Interview preparation tips for other job seekers - Even if you are fresher. Expect very advanced experienced level questions to be asked

Skills evaluated in this interview

Top Adagrad AI Computer Vision Engineer Interview Questions and Answers

Q1. Rotate an image in your choice of language
View answer (1)

Computer Vision Engineer Interview Questions asked at other Companies

Q1. Can you train model using MATLAB for image classifications?
View answer (1)

Interview questions from similar companies

Interview Preparation Tips

Round: Test
Experience: It was nice set of mixed bag questions each challenging your brain to scratch more and find the trick.
Tips: Be calm in solving the questions, Practice few tricks to solve

work,time,distance,number series problem etc. quickly to help save the

time.
Duration: 20 minuntes minutes
Total Questions: 25

Round: Resume Shortlist
Experience: I think resume played a important role in selection processes.
Tips: Make it simple and HIGHLIGHT your good work and experiences.Interviewer don't have time to go through whole crap what we write so basically focus on highlighting your achievements and internships.

Round: Group Discussion
Experience: People are dying to take the opportunity and speak.You will be facing a fish market in few cases, rest it is calm and everyone is given a chance to put forward there point.
Tips: Generally u have to decide which side of the boat u want to be on.

Either go against the topic or in favor whichever you are more

comfortable with.

College Name: IIT ROORKEE

Interview Preparation Tips

Round: Resume Shortlist
Experience: I consulted my seniors for preparation of my resume. I believe that seniors provide the best provide you with the best possible insights in this regards.

Round: Test
Experience: The first round was the written test. The duration of the test was half an hour. The test consisted of questions on data interpretation, logical reasoning and analytics. The questions were pretty easy. The company shortlisted a lot of candidates for the Group Discussion (GD).

Round: HR Interview
Experience: The interview was, as I would call it, an HR and a puzzle based interview. Some questions from probability were also asked. The puzzles asked were tricky but easy at the same time. I cannot recall any of the puzzles that were asked.
Tips: Before appearing for the interview, I would suggest you to solve puzzles from a book named ‘Out of the Box’; the book contains some really good puzzles.

College Name: IIT ROORKEE

Interview Preparation Tips

Round: Test
Experience: The written test had various sections. After the written test which was held online, few students were shortlisted for the interview process. There were a total of three rounds of interviews.

Round: HR Interview
Experience: The questions asked from all the candidates in all the rounds were quite similar in nature. They were asking puzzles, numerical reasoning based questions and things which would require use of your analytical skills. The questions weren’t difficult and one can easily find them on placement preparation sites. They also tested me on my knowledge of core engineering subjects to ascertain whether I am serious about the tasks I have in hand.

They also asked few normal HR questions. Some of them were about my short term and long term goals and where do I see myself after three years. They also asked me the reason for shift to a non-core field company.

College Name: IIT ROORKEE
Motivation: I had appeared for the placement process for Mu Sigma as arranged by the placement committee of my college. There was no resume based selection and neither there was any group activity. The major criterion for being able to appear for the written test was the CGPA.

Interview Preparation Tips

Round: Test
Experience: Half an hour test which had 5 C questions, 10 math and 10 on simple English.
Duration: 30 minutes

Round: Puzzle Interview
Experience: Preliminary Round: One Puzzle and a question on probability, I Couldn't answer that puzzle so I started talking about my internship in a great detail and this helped me to get to the next round.

General Tips: It will be of great help if you can solve simple mathematics problems with speed - CAT type.
Skill Tips: Make Sure you do all the common puzzles before you go to interview, E.g 100 gold coin/pirate one which keep repeating.
College Name: NIT SURATHKAL

Interview Questionnaire 

2 Questions

  • Q1. Tell me about yourself
  • Ans. 

    I am a business analyst with experience in data analysis and project management.

    • Experienced in data analysis and project management

    • Proficient in using tools like Excel, SQL, and Tableau

    • Skilled in identifying business problems and providing solutions

    • Excellent communication and presentation skills

    • Worked with cross-functional teams to achieve project goals

  • Answered by AI
  • Q2. Asking about team work

Interview Preparation Tips

Round: Test
Experience: Accuracy required
Tips: Easy just need more speed in calculations
Duration: 20 minutes
Total Questions: 15

Round: Problem Statement
Experience: Strategies required for buisness , simple coding
Tips: Strategies required for buisness , simple coding

Round: Group Discussion
Experience: A video round followed by GD will be conducted
Tips: Video round may have clips from films like pursuit of happiness and you have to write about video

Skills: Communication , Team work, Stress handling
College Name: SATHYABAMA UNIVERSITY
Motivation: No need to prepare much being cool and self confident is enough

Business Analyst Interview Questions & Answers

Mu Sigma user image Korra Jagadeeshwar

posted on 6 Mar 2015

Interview Questionnaire 

1 Question

  • Q1. Every Question to test my confidence and strength to respond to a situation basing on my answers

Interview Preparation Tips

Round: Test
Experience: Good standard questions
Tips: Be good at your mathematics tricks.
Duration: 20 minutes
Total Questions: 15

Round: ProgRAmming Knowledge Test
Experience: Basic c programming algorithms
very easy indeed
Tips: be good at basics of C

Round: Group Discussion
Experience: Very much interactive one and a good one to talk on.
Tips: Be sure on what you talk and be ready to respond to each and every opinion.
Duration: 30 minutes

Round: Video Synthesis
Experience: A video on Mu Sigma Belief System, a good one to analyse.
Tips: Never summarize the video.

Round: HR Interview
Experience: Being Confident is the main plus point for me.
The Interviewer was a cool minded and also good at manipulating our answers to form the next question.
Tips: Be Confident throughout the interview and show them you are meant to be at this job.
And make sure you don't cook up any fake story , you may get caught somewhere in the interview.
And never feel tensed, just give it your best shot.

General Tips: Just show the interviewer how confident you are and what you are capable of.
Skills: Confidence with which you can work, Readiness to work hard
College Name: VIT VELLORE
Motivation: A best company that can be found in today's Indian Economy for Business Analysts and their principle of learning over knowing is the best.
Funny Moments: The HR team is really friendly and they shared a lot of funny moments, one among them is the chat we had on monkeys and people as monkeys.

Interview Questionnaire 

3 Questions

  • Q1. Tell me about yourself?
  • Ans. 

    I am a business analyst with experience in data analysis and project management.

    • I have a degree in business administration

    • I have worked with various industries such as finance and healthcare

    • I am skilled in data analysis tools such as Excel and SQL

    • I have experience in project management and leading cross-functional teams

  • Answered by AI
  • Q2. Why do you want to join Mu Sigma?
  • Ans. 

    I am excited to join Mu Sigma because of its reputation for innovative problem-solving and data-driven approach.

    • Mu Sigma's focus on data-driven decision making aligns with my passion for using data to solve complex business problems.

    • I am impressed by Mu Sigma's track record of delivering impactful solutions for clients across various industries.

    • I am excited about the opportunity to work with a diverse team of talented ...

  • Answered by AI
  • Q3. What kind of work does Mu Sigma do?
  • Ans. 

    Mu Sigma is a data analytics and decision sciences company that helps businesses make data-driven decisions.

    • Mu Sigma provides services such as data engineering, data science, decision sciences, and design thinking.

    • They work with clients across various industries including healthcare, retail, finance, and technology.

    • Mu Sigma's solutions help clients improve their operations, optimize their marketing strategies, and enha...

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: I used only one resume for all the companies that I applied in. I mentioned about my extra-curricular activities and my projects with the projects relevant to the profile on offer getting higher priority.

Round: Test
Experience: For the aptitude questions the preparations for the CAT examination that I had done earlier in the year proved to be availing. Whereas for the technical questions I studied topics like fluid machinery and IC engines.

The first round in Mu Sigma was the aptitude test. The test pattern was CAT based, but the difficulty level was pretty mediocre compared to CAT papers.
Tips: There was time constraint in the test. Therefore I would recommend you to practise some questions before appearing for the test to improve your speed.

Round: HR Interview
Experience: The interview began by the interviewer asking me some HR questions. The last question I responded saying that Mu Sigma is company catering to the needs of solution seeking companies. To this the interview asked me come up with a problem that I felt the company would have to deal with and also an efficient solution to the same. I designed a problem which was related to the loss in sales of Refrigerator and I solved it using the 4P concept. Then they asked me a puzzle which was that in a room of height 100m to ropes are hanging one of 120m and another of 60m and your height is 10m then what is the maximum length of rope that you can cut.

College Name: IIT ROORKEE
Motivation: Mu Sigma is a company that deals with data so I went through their site and found what it does. Later the other queries related to the company were cleared by attending the pre placement talk.

Interview Preparation Tips

Round: Test
Experience: Aptitude of easy level.
Total Questions: 15

Round: Problem Statement
Experience: Learn the basics of a programming language. The problem solving round involved a psuedocode .For the video synthesis round question of our batch, Google "Toast for change" , there is a 5 minute video clipping and we were asked to synthesize it ( NOT summarize it!!! )

Round: Group Discussion
Experience: The gd consisted of two sections. In the first section the students had to discuss the points to be considered while selecting a website. Some of the points we had put up included the site should provide tour packages which is favoured by a lot of people, the site should be linked to applications like Google maps which can provide access to information like location etc,
During the second part of the gd, the students were given five minutes to discuss and decide 3 main points out of all the points discussed previously.
After the gd, the students were asked to 1) write down all the points discussed in the sheets provided 2) write down all the points which they have not mentioned during the gd but are relevant the topic
Tips: 1) Use the time given to think properly. A proper set of points goes a long way in improving your performance during the gd
2) Read newspapers and articles on such topics. Will give an idea about such management issues
3) Be loud. Makes one look more confident
4) Listen to what the others have to say. The judging panel looks for a good speaker and a good listener. The advantage is twofold: firstly if you are out of points you can simply get something to speak about by combining what the others are saying and contradicting a few other like "I completely agree to what so and so have said but I would'nt quite agree to this because .....". The judges will note you as a good observer
5) Donot dominate over others. A group discussion is not a debate where you have to take a side.
6) try to add numbers and statistics in the discussion cause that's what analytics company want from their employees

Round: HR Interview
Experience: The HR PI was quite casual, slightly informal. I was asked about family members etc, followed by a question about the reason for my drop year. The first question after the introduction was "tell me about yourself". This question can be predicted as "tell me about your qualities that make you fit for our company". I used this question to describe all the traits that made me suitable for them, and normally I justify each quality I mention immediately. Also I would advise you to emphasize qualities that set you apart from the crowd and make you fit for their company. The HR asked me why I intended to join an analytics company if all my projects were based on biomedical. My answer to the question was that my projects were all soft computing based, and hence most of the work I do involves using a set of data to predict something which is quite similar to what they do in Mu Sigma. The only difference lies in the fact that the work I do is based on bioloigical data and biological parameters and they used market and business data( please note that I could only bring this up since most of my work is based on neural networks and soft computing, please do prepare something to relate what you have done to what they do or simply mention you were always interested in analytics and playing with nos from the start).
I was asked about a few projects of mine mentioned in my CV, I was asked to explain them, I was asked a few questions on neural networks(they only asked them cause I had mentioned it earlier)
In the end the HR asked me if there is anything I would like to ask him, so I asked him to criticize me so I could work on the points where I lack. He gave me 2 points.
Tips: Points to be noted about the hr pi:
1) Observe the nature and personality of the PI. The video presentation at the beginning of the placement process gives a very good idea about the hr's personality, the work culture etc. So use this information to predict his nature and present yourself accordingly
2) Relax. In my opinion the hr PI is the easiest and the most fun round in Mu Sigma.
3) Use the tell me about yourself and the free question well. What you ask and what you say will give a very good glimpse of your true personality
4) There is no need to be very formal and robotic but maintain politeness while answering.

Skill Tips: 1) Improve your aptitude solving ability.2) Learn the basics of a programming language. The problem solving round involved a psuedocode.3) For the video synthesis round question of our batch, Google "Toast for change" , there is a 5 minute video clipping and we were asked to synthesize it ( NOT summarize it!!! )
College Name: NIT RAIPUR

Adagrad AI Interview FAQs

How many rounds are there in Adagrad AI interview?
Adagrad AI interview process usually has 4 rounds. The most common rounds in the Adagrad AI interview process are Resume Shortlist, One-on-one Round and Technical.
How to prepare for Adagrad AI interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Adagrad AI. The most common topics and skills that interviewers at Adagrad AI expect are Analytics, Computer Vision, Analytical, C++ and Deep Learning.
What are the top questions asked in Adagrad AI interview?

Some of the top questions asked at the Adagrad AI interview -

  1. Rotate an image in your choice of langu...read more
  2. What is the difference between CNN and ...read more
  3. Why are activation functions u...read more

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Adagrad AI Interview Process

based on 2 interviews

Interview experience

3.5
  
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4.3/5

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