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I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 2 interview rounds.
I have 5 years of experience working as a Site Engineer in construction projects.
Managed construction projects from start to finish
Performed site inspections and quality control checks
Coordinated with contractors and subcontractors
Ensured compliance with building codes and safety regulations
Seeking new challenges and opportunities for growth.
Looking for new challenges to enhance my skills and knowledge
Seeking opportunities for career advancement
Interested in working on larger projects with more responsibilities
I applied via Company Website and was interviewed in Aug 2022. There were 2 interview rounds.
I applied via Referral and was interviewed in Jun 2022. There were 3 interview rounds.
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I appeared for an interview in Oct 2024, where I was asked the following questions.
After joining the company, I plan to enhance my skills through hands-on projects, mentorship, and continuous learning opportunities.
Hands-On Projects: I aim to work on real-world projects to apply theoretical knowledge and gain practical experience, such as contributing to team initiatives.
Mentorship: I plan to seek guidance from experienced colleagues to learn best practices and industry standards, enhancing my profes...
I appeared for an interview in Oct 2024, where I was asked the following questions.
Python is a versatile programming language widely used for data analysis, automation, and web development.
Python is an interpreted language, meaning it executes code line by line, which makes debugging easier.
It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Python has a rich ecosystem of libraries, such as Pandas for data manipulation and NumPy for numerical ...
I appeared for an interview in Mar 2025, where I was asked the following questions.
Supervised learning uses labeled data for training, while unsupervised learning identifies patterns in unlabeled data.
Supervised learning requires labeled datasets, e.g., predicting house prices based on features like size and location.
Unsupervised learning works with unlabeled data, e.g., clustering customers based on purchasing behavior.
In supervised learning, the model is trained to minimize error between predicted ...
I applied via Campus Placement and was interviewed before Oct 2022. There were 3 interview rounds.
UVM is a methodology for verifying complex designs using SystemVerilog. Blocking assignments execute sequentially, while non-blocking assignments execute concurrently.
UVM (Universal Verification Methodology) is a standardized methodology for verifying complex designs in SystemVerilog.
Blocking assignments in SystemVerilog execute sequentially, meaning the next statement waits for the current statement to finish.
Non-bloc...
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