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Data analytics is the process of analyzing raw data to extract useful insights and make informed decisions.
Data analytics involves cleaning, transforming, and modeling data to discover patterns and trends.
It helps businesses optimize operations, improve marketing strategies, and enhance decision-making.
Examples include using customer data to personalize marketing campaigns and analyzing sales data to forecast future tr
Blending is the process of mixing different ingredients together to create a uniform mixture.
Blending involves combining multiple substances to create a homogeneous mixture.
Blenders are commonly used in the kitchen to blend fruits and vegetables into smoothies.
Blending is also used in industries like cosmetics and pharmaceuticals to mix ingredients for products.
Aptitude test based on logical reasons
Python & SQl easy to moderate level
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.
I am proficient in using statistical software such as R and Python for data analysis.
I have experience in conducting market research and creating reports to help businesses make informed decisions.
I am a s...
I applied via Referral and was interviewed before Oct 2022. There were 2 interview rounds.
Kantar interview questions for designations
I applied via Company Website and was interviewed before Aug 2020. There was 1 interview round.
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I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.
I am proficient in using statistical software such as R and Python for data analysis.
I have experience in conducting market research and creating reports to help businesses make informed decisions.
I am a q...
I am passionate about analyzing data and providing valuable insights to drive business decisions.
Passionate about data analysis
Enjoy providing insights to drive decisions
Excited about contributing to business success
I have confidence in the subject of data analysis and statistics.
I have a strong understanding of statistical methods and data analysis techniques.
I am proficient in using software tools like Excel, R, and Python for data analysis.
I have experience in conducting hypothesis testing, regression analysis, and data visualization.
I have successfully completed projects where I analyzed large datasets and provided actionable
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is known for its high accuracy and ability to handle large datasets with ...
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