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I applied via Campus Placement and was interviewed in Mar 2022. There were 4 interview rounds.
Top trending discussions
I applied via Walk-in and was interviewed before Nov 2020. There were 3 interview rounds.
Market capitalisation is the total value of a company's outstanding shares.
Market cap is calculated by multiplying the current stock price by the total number of outstanding shares.
It is used to determine the size of a company and its overall worth.
Companies with higher market caps are generally considered more stable and less risky investments.
For example, Apple Inc. has a market cap of over $2 trillion as of 2021.
Mar...
I appeared for an interview in Jan 2025.
I am a highly motivated and detail-oriented individual with a background in finance and a passion for problem-solving.
Background in finance
Highly motivated and detail-oriented
Passionate about problem-solving
Seeking new challenges and opportunities for growth.
Looking for new challenges to expand my skills and knowledge
Seeking opportunities for career advancement
Interested in working in a different industry or with a different team
I have over 5 years of experience in marketing and sales roles, with a focus on digital marketing strategies.
Managed social media campaigns for a tech startup, increasing engagement by 30%
Developed email marketing campaigns for a retail company, resulting in a 20% increase in sales
Led a team of sales representatives to exceed quarterly targets by 15%
I followed a structured process involving research, planning, execution, and evaluation.
Researched the topic thoroughly to gather relevant information
Created a detailed plan outlining tasks and timelines
Executed the project according to the plan, making adjustments as needed
Evaluated the outcomes to identify successes and areas for improvement
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
NAV stands for Net Asset Value, which represents the per-share value of a mutual fund or exchange-traded fund (ETF).
NAV is calculated by subtracting a fund's liabilities from its assets and dividing by the number of shares outstanding.
It is used to determine the price at which investors can buy or sell shares of the fund.
NAV is typically calculated at the end of each trading day.
For example, if a mutual fund has assets...
Custodian banks are financial institutions responsible for safeguarding assets, such as securities and cash, on behalf of institutional clients.
Provide safekeeping of assets
Settle trades on behalf of clients
Collect income on assets
Process corporate actions
Provide reporting and other administrative services
Act as a liaison between the client and the investment manager
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 appeared for an interview before Feb 2024.
Basic speaking test, english
The graphs show a steady increase in sales over the past year.
Sales have been consistently rising month over month.
There was a significant spike in sales during the holiday season.
The overall trend is positive and indicates growth in the business.
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
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 Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy
Some of the top questions asked at the NetConnectGlobal Talent Acquisition Specialist interview for experienced candidates -
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