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Encore Capital Group
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I applied via Recruitment Consultant and was interviewed in Oct 2021. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Jul 2020. There were 4 interview rounds.
I will assess the client's current infrastructure, identify areas of improvement, and propose a customized upgrade plan.
Conduct a thorough assessment of the client's current infrastructure
Identify areas of improvement and prioritize them based on their impact on the client's business
Propose a customized upgrade plan that addresses the client's specific needs and budget
Ensure minimal disruption to the client's operation...
I applied via Company Website and was interviewed in Aug 2021. There were 4 interview rounds.
I appeared for an interview before Mar 2024.
Technical Discussion
Technical Discussion with Coding Test
I worked as a project manager at a consulting firm, leading teams to deliver strategic solutions for clients across various industries.
Managed a team of 10 consultants to deliver a market entry strategy for a tech startup.
Conducted data analysis to identify key trends, resulting in a 20% increase in client revenue.
Facilitated workshops with clients to align project goals and expectations, enhancing client 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 applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Create a business requirement document
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: difficulty with public speaking
Weaknesses: time management
Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc
A question related to Binary search and some other follow ups.
I applied via Referral and was interviewed in Sep 2024. There were 3 interview rounds.
I handle escalations by addressing the issue promptly, involving necessary stakeholders, and providing regular updates.
Address the issue promptly to prevent further escalation
Involve necessary stakeholders to gather input and support
Provide regular updates to all parties involved to ensure transparency and progress
Implement solutions to prevent similar escalations in the future
Long-term securities are investments held for an extended period, while short-term securities are held for a shorter duration.
Long-term securities typically have maturity dates of over one year, such as bonds or stocks.
Short-term securities have maturity dates of one year or less, like Treasury bills or certificates of deposit.
Long-term securities offer higher potential returns but also higher risk, while short-term se...
Yield to Maturity is the total return anticipated on a bond if it is held until it matures.
Yield to Maturity is the annual rate of return an investor can expect to earn if the bond is held until it matures.
It takes into account the bond's current market price, par value, coupon interest rate, and time to maturity.
Yield to Maturity helps investors compare different bonds and make informed investment decisions.
For exampl...
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
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...
Our client is a multinational technology company specializing in software development and cloud services.
Our client is known for their popular operating system used by millions of people worldwide.
They offer a wide range of productivity software and cloud services for businesses and individuals.
The company was founded in the 1970s by Bill Gates and Paul Allen.
They are also involved in hardware products such as laptops,
I applied via Walk-in and was interviewed before Feb 2022. There were 3 interview rounds.
All Logical questions plus coding
based on 2 reviews
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Accounts Manager
507
salaries
| ₹1.8 L/yr - ₹8 L/yr |
Resident Expert
132
salaries
| ₹2.9 L/yr - ₹6.8 L/yr |
Group Manager
93
salaries
| ₹5 L/yr - ₹11.1 L/yr |
Process Expert
86
salaries
| ₹2.3 L/yr - ₹6 L/yr |
Account Manager Process Expert
38
salaries
| ₹2.7 L/yr - ₹8 L/yr |
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