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JetSynthesys Interview Questions and Answers
JetSynthesys Interview Experiences
5 interviews found
Anonymous
I applied via LinkedIn and was interviewed in Jun 2020. There were 3 interview rounds.
Interview Questionnaire
8 Questions
- Q1. What are the products you have worked upon?
- Q2. What the unique feature you have added to that Product to increase it's efficiency?
- Ans.
Implemented AI-powered recommendation engine to suggest personalized products based on user behavior.
Developed machine learning algorithms to analyze user data and suggest relevant products.
Implemented user feedback system to continuously improve recommendations.
Increased sales by 20% and customer satisfaction by 15%.
Reduced manual effort required for product selection and increased efficiency.
- Q3. What was the one mistake you have made and what you have learned from that ?
- Q4. What was your biggest achievement?
- Q5. What's your favourite product and why
- Q6. How can you improve your favourite product?
- Ans.
I would improve my favorite product by adding more customization options.
Add more color options for the product
Allow users to choose their preferred font style
Include the option to add personalized text or images
Provide different sizes or shapes for the product
- Q7. Why are you looking for a change?
- Q8. What are the factors on which your performance gets assessed?
Interview Preparation Tips
Product Manager Interview Questions asked at other Companies
Selected
I applied via Company Website and was interviewed in Mar 2024. There were 2 interview rounds.
Write a full PRD and 12 page slide in 2 days
(1 Question)
- Q1. Based on the assignment
Associate Product Manager Interview Questions asked at other Companies
dipesh maurya
(2 Questions)
- Q1. Tell about yourself
- Ans.
I am a dedicated Test Engineer with a strong background in software testing and quality assurance.
Experienced in creating test plans and test cases
Proficient in automated testing tools such as Selenium
Skilled in identifying and documenting software defects
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
- Q2. Why should we hire you
- Ans.
I have a strong background in testing methodologies and a proven track record of delivering high-quality results.
I have extensive experience in manual and automated testing
I am detail-oriented and have a keen eye for identifying bugs and issues
I have excellent communication skills, which helps in collaborating with cross-functional teams
I am proactive in suggesting improvements to the testing process, leading to more e
Test Engineer Interview Questions asked at other Companies
Selected
I applied via Referral and was interviewed before Nov 2023. There was 1 interview round.
Basic aptitude test, if you know basic maths you can easily crack it.
Software Engineer Interview Questions asked at other Companies
JetSynthesys interview questions for popular designations
Selected
I applied via Approached by Company and was interviewed before May 2022. There were 3 interview rounds.
(1 Question)
- Q1. Interview was mix of Technical & Process questions. I had been asked questions on Projects I had worked, challenges faces, technologies I had worked on, the processes followed to deliver the product / upda...
(1 Question)
- Q1. General Discussions, Salary Negotiations, Documents Verification.
Interview Preparation Tips
- Web Technologies
- Mobile Applications
- General knowledge
- Process Management
Senior Project Manager Interview Questions asked at other Companies
Interview questions from similar companies
I applied via Campus Placement and was interviewed in Jan 2024. There were 2 interview rounds.
15 basic cs based mcq - mainly dsa and os and 3 coding question -- dp count the number of elemnt sum required to reach target , 2 q - balanced parenthesis and last one is from graph.
(2 Questions)
- Q1. Min stack , bfs traversal of tree(level order)
- Q2. Question related to os and your project
Interview Preparation Tips
Contains linear and non linear data structures deep knowledge of trees and graphs
(1 Question)
- Q1. Able to do dry run on page
- Ans.
Dry run on a page involves testing the code without actually executing it.
Dry run involves walking through the code manually to check for errors
Helps in identifying logic errors before actual execution
Commonly used in debugging and testing code
Rupsa Ojha
APTITUDE TEST ON MATHEMATICAL QNS
(2 Questions)
- Q1. SPEED AND DISTANCE
- Q2. PROFIT N LOSS NUMBER SYSTEM
- Ans.
Profit and loss number system is a method used to calculate the financial performance of a business.
Profit is the positive difference between revenue and expenses.
Loss is the negative difference between revenue and expenses.
Net profit is the total profit after deducting all expenses.
Net loss is the total loss after deducting all expenses.
Profit and loss statement shows the financial performance of a business over a spe
Manash Bandhu
I appeared for an interview in Feb 2025.
10 questions - 45minutes
(2 Questions)
- Q1. SQL joins based questions
- Q2. Excel VLOOKUP function
Interview Preparation Tips
Sayan Mondal
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Interview Questionnaire
3 Questions
- Q1. 1. ML project explanation
- Ans.
Developed a machine learning model to predict customer churn for a telecom company.
Used logistic regression and decision tree algorithms for classification.
Performed feature engineering to extract relevant features from customer data.
Achieved an accuracy of 85% on the test set.
Provided actionable insights to the company to reduce customer churn.
- Q2. 2.different performance metric
- Ans.
Different performance metrics are used to measure the effectiveness of a model or system.
Accuracy
Precision
Recall
F1 Score
ROC Curve
AUC
Mean Squared Error
Root Mean Squared Error
R-squared
- Q3. Diff in Bagging and boosting. Explain XgBoost
- Ans.
Bagging and boosting are ensemble learning techniques. XgBoost is a gradient boosting algorithm.
Bagging involves training multiple models on different subsets of the data and combining their predictions.
Boosting involves training models sequentially, with each model trying to correct the errors of the previous model.
XgBoost is an optimized implementation of gradient boosting that uses a combination of tree-based models...
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JetSynthesys Reviews and Ratings
based on 80 reviews
Rating in categories
|
Software Engineer
55
salaries
|  ₹4.8 L/yr - ₹14 L/yr |
|
Senior Software Engineer
41
salaries
| ₹6.5 L/yr - ₹23.7 L/yr |
|
Software Developer
20
salaries
| ₹5 L/yr - ₹12.2 L/yr |
|
Product Manager
20
salaries
| ₹8.5 L/yr - ₹26 L/yr |
|
Devops Engineer
20
salaries
| ₹4.5 L/yr - ₹12.1 L/yr |
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