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Marsh McLennan
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I applied via Recruitment Consultant and was interviewed in Oct 2019. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed before Feb 2023. There was 1 interview round.
I applied via Approached by Company and was interviewed before Apr 2023. There was 1 interview round.
End to end data solution involves collecting, processing, analyzing, and presenting data to address business needs.
Collecting data from various sources such as databases, APIs, and files
Cleaning and processing data to ensure accuracy and consistency
Analyzing data using statistical methods and machine learning algorithms
Presenting insights and recommendations to stakeholders
Handling a challenging situation: Resolving di...
I led a project to develop a predictive analytics platform for a retail company, integrating various data sources and implementing machine learning models.
Developed project scope and requirements with stakeholders
Designed data architecture and selected appropriate tools and technologies
Integrated data from multiple sources including CRM, POS, and online platforms
Implemented machine learning models for demand forecastin...
I applied via Approached by Company and was interviewed before Apr 2023. There were 3 interview rounds.
I appeared for an interview in Jan 2024.
The interview questions cover topics such as macro quoting functions, creating macro variables, date functions, situational scenario-based questions, and automatic variables in SAS.
Macro quoting functions in SAS allow for the creation of macro variables with special characters.
Macro variables can be created in the data step using the %LET statement or by using the CALL SYMPUTX routine.
The date functions INTCK() and INT...
I applied via Campus Placement and was interviewed before Mar 2023. There were 3 interview rounds.
General altitude with MAT level question
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is made up of multiple decision trees
Each tree in the forest is built using a subset of the training data and a random selection of features
The final prediction is made by averaging the predictions of all the individual trees
Random forest is known for its high accuracy and ability to handle large datasets
It is a popu...
I applied via Internal and was interviewed before Aug 2022. There were 3 interview rounds.
based on 1 interview
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Wells Fargo
JPMorgan Chase & Co.
HSBC Group
Cholamandalam Investment & Finance