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Refyne Interview Questions and Answers
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4 interviews found
(1 Question)
- Q1. Design a rate limiter
- Ans.
Rate limiter design to control the rate of requests to a system
Implement a token bucket algorithm to track and limit the rate of incoming requests
Use a sliding window algorithm to track the number of requests within a specific time frame
Consider using a distributed system to handle rate limiting across multiple servers
Design a unique id generator
Skills evaluated in this interview
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Raghavendra Saddalagari
Case study was to figure out the problems in swiggy user journey flow
(1 Question)
- Q1. General questions about yourself
Senior Product Analyst Interview Questions asked at other Companies
Shobhit Tewari
DSA - Leetcode 2 problems
Machine coding round
(1 Question)
- Q1. Why tech? If not tech then what you'll do?
Software Development Engineer 1 Interview Questions asked at other Companies
Selected
I was interviewed before May 2023.
(1 Question)
- Q1. Account Management styles Understanding of customer needs Escalations Conflicts
Scenario based account management related questions
(1 Question)
- Q1. Eagerness to learn new product willingness to join availability to join
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I applied via Campus Placement
(4 Questions)
- Q1. Describe projects?
- Ans.
I have worked on various projects ranging from data analysis to machine learning models.
Developed a sentiment analysis model using natural language processing techniques
Implemented a recommendation system based on collaborative filtering algorithm
Worked on a predictive maintenance project for optimizing equipment performance
- Q2. Explain architecture of Efficient-nets
- Ans.
EfficientNets are a family of convolutional neural networks that have been designed to achieve state-of-the-art accuracy with fewer parameters and FLOPS.
EfficientNets use a compound scaling method to balance network depth, width, and resolution for optimal performance.
They are based on a baseline network architecture called EfficientNet-B0, which is then scaled up to create larger models like EfficientNet-B1, Efficient...
- Q3. Explain transformers architecture
- Ans.
Transformers architecture is a deep learning model that uses self-attention mechanism to process sequential data.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feed-forward neural networks.
Self-attention mechanism allows the model to weigh the importance of different input tokens when making predictions.
Transformers have achieved state-of-the-art performance in ...
- Q4. Longest sub array question in python.
- Ans.
Find the longest subarray of strings in a given array.
Iterate through the array and keep track of the current subarray length.
Reset the subarray length when encountering a non-string element.
Return the length of the longest subarray found.
(3 Questions)
- Q1. About family and past life
- Q2. Past internships and learnings
- Q3. College life and what they expect.
Selected
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Company profile
- Q2. What is travel and tourism
(2 Questions)
- Q1. What is a dmc?
- Q2. Disadvantages faced by a dmc
(2 Questions)
- Q1. Criteria based questions
- Q2. Situation handling questions
Amit Kunwar
Selected
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur
(2 Questions)
- Q1. Introduction yourself in details covering each points
- Ans.
Experienced cluster manager with a proven track record in team leadership and strategic planning.
Over 5 years of experience in managing multiple teams and projects simultaneously
Strong leadership skills with the ability to motivate and inspire team members
Expertise in strategic planning and execution to achieve organizational goals
Excellent communication and interpersonal skills for effective team collaboration
Proven t...
- Q2. Location can be for new hotels for max revenue
Selected
I was interviewed in Dec 2024.
Core Java, Spring boot, Hibernate, MySQL
(2 Questions)
- Q1. Technical Questions
- Q2. Logic Problems
(2 Questions)
- Q1. Logic Problems solving (face to face interview)
- Q2. Personality check
Interview Preparation Tips
Product Manager Interview Questions & Answers
Keka HR Payroll Software
Anonymous
posted on 13 Aug 2024
I applied via Recruitment Consulltant
(4 Questions)
- Q1. Talk about your work experience. Detailed questions about projects that I worked on.
- Q2. Why are you interested in switching.
- Ans.
Seeking new challenges and growth opportunities in a dynamic field.
Interested in leveraging my skills and experience in a new environment
Excited about the potential to work on innovative products
Looking for opportunities to expand my knowledge and expertise
- Q3. Do you use any food delivery apps frequently? What would you improve in Swiggy?
- Ans.
Yes, I frequently use food delivery apps like Swiggy.
I use Swiggy at least a few times a week for ordering food.
I appreciate the wide variety of restaurants and cuisines available on Swiggy.
Improvement suggestion: Enhance the user interface for a smoother ordering experience.
Improvement suggestion: Implement a more accurate delivery time estimation system.
Improvement suggestion: Offer more personalized recommendations
- Q4. What is northstar metric, what would be northstar metric for Swiggy
- Ans.
Northstar metric is the key metric that drives the core value of a product. For Swiggy, the northstar metric could be Daily Active Users (DAU) or Orders per User.
Northstar metric is the single metric that best captures the core value that your product delivers to customers.
For Swiggy, the northstar metric could be Daily Active Users (DAU) as it represents the number of unique users who engage with the platform on a dai...
(2 Questions)
- Q1. Explain what you worked on, how did you grow the adoption of the feature.
- Ans.
I worked on improving the adoption of a new feature by conducting user research, implementing user feedback, and creating targeted marketing campaigns.
Conducted user research to understand user needs and preferences
Implemented user feedback to make necessary improvements to the feature
Created targeted marketing campaigns to promote the feature to the right audience
- Q2. Design product to manage risks during an event. Sub-question- How would this change if the target market is tier 3 cities in India
Interview Preparation Tips
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Data Science Intern Interview Questions & Answers
OneBanc Technologies
Anonymous
posted on 17 Oct 2024
I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.
A random topic was given and we had to speak on it
(2 Questions)
- Q1. Why do u want to join us
- Ans.
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
Passionate about data science
Believe company offers growth and learning opportunities
- Q2. A guestimate question, how many tea cups are consumed daily in delhi
(2 Questions)
- Q1. What is Bias In ML?
- Ans.
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.
It can result from the data used to train the model being unrepresentative or skewed.
Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.
Examples inclu...
- Q2. Regression concept in ML
- Ans.
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
Regression models establish a relationship between dependent and independent variables.
Common regression algorithms include linear regression, polynomial regression, and logistic regression.
Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.
Example: Predicting house prices b...
50 question in 15 mins
(2 Questions)
- Q1. On site evaluation, where various tasks were given
- Q2. Why do u want to join us
- Ans.
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
I am passionate about data science and enjoy working with data to derive insights and make informed decisions.
I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.
I am impressed by the projects your c...
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