i
Progressive Infotech
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I applied via Referral and was interviewed before Dec 2023. There were 2 interview rounds.
It was easy n total of 3 were asked
Top trending discussions
I was interviewed in Jan 2025.
Different logical reasoning question over the round
Different dsa question over topics array ,string etc
I am a dedicated and hardworking individual with a passion for learning and growth.
I have a Bachelor's degree in Business Administration
I have 3 years of experience in marketing and sales
I am proficient in Microsoft Office Suite and social media marketing
I am a team player and enjoy collaborating with others to achieve goals
My strength lies in my ability to effectively communicate and collaborate with team members to achieve common goals.
Strong communication skills - able to clearly convey ideas and information
Collaborative nature - work well with others to problem solve and innovate
Adaptability - able to adjust to changing circumstances and priorities
Leadership skills - able to motivate and inspire team members towards success
I am a dedicated and hardworking individual with a passion for learning and growth.
I have a strong work ethic and always strive to exceed expectations
I am a quick learner and adapt well to new environments
I have experience in project management and team collaboration
My strength lies in my ability to effectively communicate and collaborate with team members to achieve common goals.
Strong communication skills
Collaborative mindset
Ability to work well in a team
Problem-solving skills
Leadership qualities
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 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 Referral and was interviewed before Aug 2022. There were 4 interview rounds.
There is online aptitude test as they followed
It is also a online assessment with some technical questions
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
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Interview experience
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