i
Teachmint
Filter interviews by
I applied via Campus Placement and was interviewed before Nov 2022. There were 4 interview rounds.
Top trending discussions
I applied via AngelList and was interviewed in Sep 2021. There were 2 interview rounds.
The exact number of daily buy/sell orders of crypto in India is not publicly available.
There is no official data available on the number of daily buy/sell orders of crypto in India.
The crypto market in India is largely unregulated, making it difficult to track the exact number of transactions.
However, it is estimated that the daily trading volume of crypto in India is around $10-15 million.
The number of daily buy/sell ...
Lead School stands out as a product offering due to its comprehensive and innovative approach to education.
Lead School offers a unique blend of technology and traditional teaching methods to provide a holistic learning experience.
The curriculum is designed to be practical and relevant to real-world scenarios, preparing students for the future.
The use of AI-powered tools and personalized learning plans ensures that each...
Design a referral dashboard for parents/students on Lead school website and identify relevant metrics.
Include a clear call-to-action for referrals
Display referral progress and rewards
Track referral source and conversion rate
Monitor referral activity and engagement
Provide easy sharing options for referrals
Analyze referral data to improve program effectiveness
I applied via LinkedIn and was interviewed in Aug 2022. There were 6 interview rounds.
A product case study was given.
Retention bases case study
I applied via Campus Placement and was interviewed before Mar 2023. There were 3 interview rounds.
Build a social product for house parties
It is estimated that over 5 billion videos are streamed on YouTube every day.
YouTube is one of the most popular video streaming platforms globally
The platform has over 2 billion logged-in monthly users
Many users watch multiple videos per day, contributing to the high number of streams
The recommendation logic in the case study is based on user preferences, past behavior, and machine learning algorithms.
User preferences are collected through surveys, ratings, and interactions with the product.
Past behavior includes purchase history, browsing history, and interactions with similar products.
Machine learning algorithms analyze the data to predict user preferences and recommend products accordingly.
I applied via LinkedIn and was interviewed before Aug 2021. There was 1 interview round.
I applied via Referral and was interviewed before Apr 2022. There were 6 interview rounds.
Product case study to be solved in 3 workinv days
Netflix for senior citizens with larger fonts, simpler navigation, and curated content
Larger fonts and high contrast for better readability
Simpler navigation with fewer options and clear labeling
Curated content based on popular genres and interests of seniors
Option to enable closed captions and audio descriptions
Integration with voice assistants like Alexa or Google Home
Ability to customize subtitles and audio settings
LinkedIn's next year strategy will focus on enhancing user experience, expanding job opportunities, and increasing revenue.
Improving the user interface and making it more intuitive
Introducing new features to help job seekers find relevant job openings
Partnering with more companies to increase job listings and revenue
Investing in AI and machine learning to provide personalized recommendations and insights
Expanding the p...
I applied via Approached by Company and was interviewed before Jan 2024. There were 2 interview rounds.
Developed automation to trigger email campaigns for leads missing phone numbers.
Identified Lead IDs without phone numbers from the CRM system.
Created a script to filter and compile these Lead IDs into a list.
Integrated with the email marketing platform to automate campaign triggers.
Scheduled the email campaign to run at specific intervals for efficiency.
Monitored campaign performance and adjusted targeting based on eng...
I applied via Naukri.com and was interviewed in Oct 2023. There were 3 interview rounds.
Case study was around, How do you deal with two orders which are ordered at the same time in Swiggy
based on 1 interview experience
Difficulty level
Duration
based on 1 review
Rating in categories
Area Business Manager
108
salaries
| ₹6 L/yr - ₹14 L/yr |
Key Account Manager
105
salaries
| ₹5.5 L/yr - ₹12 L/yr |
Cluster Head
36
salaries
| ₹12 L/yr - ₹20.6 L/yr |
Assistant Manager
33
salaries
| ₹7 L/yr - ₹12 L/yr |
Area Key Account Manager
20
salaries
| ₹5 L/yr - ₹10 L/yr |
Classplus
Unacademy
Chegg
NxtWave