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Innodata India Private Limited
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I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 4 interview rounds.
Comfortability with different types of content is essential for a data analyst to effectively analyze and interpret data.
Understanding and analyzing structured data such as numerical data in spreadsheets
Analyzing unstructured data like text documents, social media posts, and emails
Working with multimedia content like images and videos
Ability to interpret and analyze data from various sources and formats
Experience with ...
Data Annotations Assignment was shared with different type of data was given and we have to label that data properly.
I appeared for an interview before Feb 2024.
Assignment on current affairs and pop culture
What people are saying about Innodata India Private Limited
I applied via Naukri.com and was interviewed in Dec 2021. There were 2 interview rounds.
Basic English grammer and statistics qusetions
Data extraction is the process of retrieving data from various sources and transforming it into a usable format.
Data extraction involves identifying relevant data sources
Data is then extracted using various tools and techniques
The extracted data is transformed into a usable format for analysis
Common data extraction tools include SQL, ETL, and web scraping
Data extraction is a crucial step in the data analysis process
Innodata India Private Limited interview questions for designations
posted on 13 Oct 2023
An IP address is a unique numerical label assigned to each device connected to a computer network.
IP addresses are used to identify and locate devices on a network.
There are two types of IP addresses - IPv4 and IPv6.
IPv4 addresses are written in the form of four sets of numbers separated by periods (e.g. 192.168.1.1).
IPv6 addresses are written in a hexadecimal format and are longer than IPv4 addresses.
IP addresses can ...
Why should we hire you
I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.
General knowledge
English knowledge
I am a data analyst with a strong background in statistics and programming.
Proficient in statistical analysis and data visualization using tools like Python and R
Experienced in cleaning and transforming large datasets for analysis
Skilled in creating insightful reports and presentations to communicate findings
Strong problem-solving and critical thinking skills
Ability to work collaboratively in a team and meet deadlines
I applied via Job Portal
Provided sales case study, asked to analyse the same ans provide insights
based on 3 interviews
Interview experience
based on 3 reviews
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