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Capco Technologies
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I was interviewed in Oct 2022.
Case study and 3 quick fire interviews.
All very fun
Just know abbout the company and do research before
Financial markets offer dynamic challenges and consulting provides opportunities to solve complex problems.
I am passionate about the constantly evolving nature of financial markets and the challenges they present.
Consulting provides a platform to work on complex problems and develop innovative solutions.
I believe my skills in analysis, problem-solving, and communication make me a strong fit for consulting in the financ...
I applied via Referral and was interviewed in Dec 2023. There were 3 interview rounds.
You are given a modelling exercise based on the market
Top trending discussions
I applied via Recruitment Consultant and was interviewed in Aug 2021. There were 4 interview rounds.
I applied via Campus Placement and was interviewed in Jul 2024. There were 3 interview rounds.
General questions asked
I applied via LinkedIn and was interviewed in May 2024. There were 3 interview rounds.
posted on 11 Feb 2024
There were 2 coding questions asked. If one question is solved you are qualified.
posted on 23 Feb 2024
Accruals are expenses incurred but not yet paid or recorded.
Accruals are expenses that have been incurred but not yet paid for.
They are recorded in the financial statements to reflect the true financial position of a company.
Accruals help match expenses with revenues in the same accounting period.
Examples include accrued salaries, interest, and taxes.
Accruals are necessary for accurate financial reporting.
Prepaid recalls are prepaid expenses that are reversed in the subsequent accounting period.
Prepaid recalls are expenses that have been paid in advance but are recognized as expenses in the following accounting period.
They are typically recorded as assets on the balance sheet until they are recognized as expenses.
Common examples of prepaid recalls include prepaid rent, insurance premiums, and subscription fees.
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.
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