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I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
This round includes knowledge of brand protection, data analysis, problem-solving skills, and familiarity with online platforms.
Common threats to brand integrity include counterfeit products, negative publicity, data breaches, and lack of consistency in messaging.
Counterfeit products can damage a brand's reputation and lead to loss of revenue.
Negative publicity, such as scandals or controversies, can tarnish a brand's image and erode consumer trust.
Data breaches can compromise customer information and result in a loss of trust and credibility.
L...
Yes, I have utilized automated tools like BrandShield and Red Points to track counterfeit goods.
Utilized BrandShield to monitor online marketplaces for counterfeit products
Utilized Red Points to detect and remove counterfeit listings
Generated reports on counterfeit activity using automated tools
Top trending discussions
I applied via Referral and was interviewed before Jul 2020. There were 4 interview rounds.
I applied via Campus Placement and was interviewed in Jul 2022. There were 5 interview rounds.
There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test
The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
It involves collecting and organizing data
It includes statistical analysis and visualization
It helps in making informed decisions
Examples include market research, financial analysis, and scientific research
SQL Queries using Joins and sub-queries
Joins are used to combine rows from different tables based on a related column
Sub-queries are queries nested within another query
Joins and sub-queries can be used together to retrieve specific data from multiple tables
I applied via Campus Placement and was interviewed before Feb 2023. There were 5 interview rounds.
Aptitude test :Numerical,Logical and Behavioral
Group discussion - Conducted among 6-12 people
I applied via Newspaper Ad
Basic coding questins
General aptitude questions
Was given a topic and asked to talk about for 2 mins
LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.
LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.
The company values continuous learning and development, providing employees with opportunities to enhance their skills.
LatentView offers a collaborative work culture where employees can work on divers...
I expect a supportive work environment, opportunities for growth, and clear communication.
Supportive work environment where I can collaborate with team members
Opportunities for growth and advancement within the company
Clear communication regarding expectations, feedback, and goals
Aptitude test was easy, you can prepare it with online available resources
We were asked to complete few games which were related to logical thinking
It was a common topic and was 1 hour long
Worst experience company is not so good
Object oriented programming is a programming paradigm based on the concept of objects, which can contain data and code.
OOP focuses on creating objects that interact with each other to solve problems
Encapsulation, inheritance, and polymorphism are key principles of OOP
Examples of OOP languages include Java, C++, and Python
4 SQL questions, complexity 7/10
I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.
Topics will be mainly SQL and few python questions. Duration-3min to 1hr
CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.
Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.
It is used in hypothesis testing, confidence intervals, and in estimating population parameters.
CLT is essential in making infer...
ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.
Data cleaning: removing missing values, handling outliers, and dealing with duplicates
Data transformation: encoding categorical variables, scaling numerical features, and creating new features
Data organization: splitting data into training and testing sets,...
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