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I applied via Company Website and was interviewed before Jan 2019. There were 2 interview rounds.
VFS is a global outsourcing and technology services specialist for governments and diplomatic missions worldwide.
VFS provides visa and passport application processing services.
They operate in over 140 countries and have a network of over 3,000 application centers.
VFS offers a range of services including document verification, biometric data collection, and appointment scheduling.
They work with various governments and d...
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A C program that communicates with a database and retrieves data using host and indicator variables.
Use appropriate database libraries and APIs to establish a connection with the database.
Define host and indicator variables to store the fetched data.
Write SQL queries to fetch the required data from the database.
Execute the queries and retrieve the data into the host variables.
Use the indicator variables to check for an...
I applied via Company Website and was interviewed in Aug 2021. There were 4 interview rounds.
I applied via Walk-in and was interviewed in Sep 2022. There were 2 interview rounds.
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed before Jun 2023. There was 1 interview round.
Developed a data analysis tool for tracking customer behavior
Created a database to store customer data
Designed algorithms to analyze customer interactions with the website
Generated reports to identify trends and patterns in customer behavior
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 Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
I will forecast expenses by analyzing historical data, market trends, and budget projections.
Analyze historical data to identify patterns and trends in expenses
Consider market trends and economic indicators that may impact expenses
Collaborate with department heads to gather budget projections and forecasts
Use financial modeling techniques to predict future expenses based on various scenarios
Regularly review and adjust
Major financial statements include income statement, balance sheet, and cash flow statement, which are interconnected through net income and retained earnings.
Income statement shows revenues and expenses, resulting in net income.
Balance sheet displays assets, liabilities, and equity, with net income affecting retained earnings.
Cash flow statement details cash inflows and outflows, reconciling with changes in cash on th...
I applied to the company because of its strong reputation in the industry and its commitment to innovation and employee development.
Reputation of the company in the industry
Commitment to innovation
Opportunities for employee development
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Rating in categories
Operations Officer
879
salaries
| ₹1 L/yr - ₹6 L/yr |
Visa Officer
248
salaries
| ₹1 L/yr - ₹6.6 L/yr |
Deputy Manager
234
salaries
| ₹2.5 L/yr - ₹10 L/yr |
Operations Executive
132
salaries
| ₹1.5 L/yr - ₹4 L/yr |
Senior Officer Operations
114
salaries
| ₹1.2 L/yr - ₹6 L/yr |
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