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Deloitte
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I applied via Recruitment Consultant and was interviewed in Mar 2020. There were 5 interview rounds.
A repo transaction is a short-term borrowing arrangement where one party sells securities to another party with a promise to buy them back at a later date.
Repo stands for repurchase agreement.
The party selling the securities is the borrower and the party buying them is the lender.
The borrower pays interest to the lender for the use of the funds.
The securities serve as collateral for the loan.
Repo transactions are commo...
I have changed the status quo in multiple projects by introducing new technologies and processes.
Introduced agile methodology in a traditional waterfall project, resulting in faster delivery and better collaboration.
Implemented a new CRM system that improved customer engagement and increased sales by 20%.
Developed a new data analytics tool that provided real-time insights and helped in making data-driven decisions.
Intr...
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
Less than CAT level quant
I applied via Referral and was interviewed before Jun 2023. There was 1 interview round.
Scorecard development involves defining objectives, selecting metrics, setting targets, collecting data, analyzing results, and communicating findings.
Define objectives and key performance indicators (KPIs)
Select appropriate metrics to measure performance
Set realistic targets for each metric
Collect relevant data to track progress
Analyze results to identify trends and insights
Communicate findings to stakeholders for dec...
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Deloitte interview questions for designations
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
I applied via Approached by Company and was interviewed in Oct 2021. There was 1 interview round.
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
I applied via Approached by Company and was interviewed before May 2022. There were 3 interview rounds.
Linear Regression. Do Data Analysis and extract insights using Groupby, Agregation etc
ML algorithms assume that the data is representative and unbiased.
ML algorithms assume that the data is accurately labeled and free from errors.
They assume that the data is relevant to the problem being solved.
They assume that the data is representative of the population it was sampled from.
They assume that the data is unbiased and not influenced by any external factors.
ML algorithms also assume that the relationships ...
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