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I applied via Recruitment Consulltant and was interviewed in Jul 2023. There was 1 interview round.
The question is related to quality control and validation procedures in a senior executive role.
Types of validation include process validation, method validation, and equipment validation.
AMV (Analytical Method Validation) procedure is used to validate analytical methods used in quality control.
Limitations of AMV include the need for extensive resources and time, and the possibility of false results.
QMS (Quality Manage...
I applied via Recruitment Consultant and was interviewed before Jun 2019. There were 5 interview rounds.
I applied via LinkedIn and was interviewed in Apr 2023. There were 3 interview rounds.
Attrition formula calculates the rate at which employees leave a company.
Attrition formula = (Number of employees who left during a period / Average number of employees during the same period) x 100
Projects should be explained in terms of goals, timelines, resources, and outcomes.
To improve inclusive environment, focus on diversity training, inclusive policies, and open communication.
Gender-based retention strategies c...
I applied via Referral and was interviewed in Jul 2022. There were 2 interview rounds.
Disscusions customer satisfaction
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I appeared for an interview before Jan 2021.
I applied via Approached by Company and was interviewed before Mar 2022. There were 4 interview rounds.
Preparing media plan for app campaign at a certain budget and expected installs first orders etc
The number of petrol pumps in the city is not available.
I do not have access to the data on the number of petrol pumps in the city.
It would be best to consult the city's government or relevant authorities for this information.
Alternatively, one could conduct a survey or research to estimate the number of petrol pumps in the city.
Optimizing bids and budgets involves analyzing data, setting goals, and adjusting strategies accordingly.
Analyze campaign data to identify top-performing keywords and adjust bids accordingly
Set clear goals for each campaign and allocate budgets accordingly
Regularly monitor and adjust bids and budgets based on performance data
Consider using automated bidding strategies to save time and improve efficiency
Use A/B testing ...
I applied via Recruitment Consulltant and was interviewed before Jan 2022. There were 2 interview rounds.
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