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Round 1 General Question Interview - Coggle Diagram
Round 1 General Question Interview
Generial interview question
Greetings self_Introduce
Tell me about yourself.
What are your strengths and weaknesses?
What skills do you have that are relevant to this role/program?
Have you worked on any projects or group assignments? What was your role?
What are your short-term and long-term goals?
Have you ever failed at something?
What did you learn?
What makes you different from other candidates?
Why should we select you?
Do you have any questions for us?
Tell me about yourself
Good morning, sir.
Thank you for giving me the opportunity to introduce myself.
My name is Mohamed Shabeer, and I am from Kayalpatnam. I am currently staying in Chennai.
I have completed my B.Tech in Electronics and Communication Engineering from B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai.
I have a learn industrial automation system, including PLC, SCADA, HMI, VFD, servo motors, stepper motors, and basic relay wiring.
I am attending this interview for the role of PLC Programmer, sir.
Strengths and weakness
1.Plan tasks step by step and complete them in order. 2. Work well with team members, share my ideas, and use my skills to solve problems. 3.Maintain good communication and soft interaction with clients.
What skills do you have that are relevant to this role/program?
I have skills in PLC, SCADA, HMI, VFD, servo motors, stepper motors, and relay wiring. These are all my skills, sir.
how many plc you learn it how many scada learn, how many hmi learn, how many vfd learn
6-plc brand Name- AB,Delta,Omran,Schneider, Mitsubi, Seimens
2-AB , 2-Delta, 2-Seimens
2 -Scada: 1-Schneider with Intouch software, 2-Delta with DIAView software
2-HMI: 1-Delta with HMI DIAScreen software, 2-Seimens with HMI TIA-Portal software
2-VFD: 1-Delta with VFD c2000 model:vfd037c43a-21, 2-AB with VFD model:
Have you worked on any projects or group assignments?
My final year project is titled "Seismic Image Classification Using a Hybrid Optimizer Based on Deep Learning." In this project, we utilize seismic images to develop an optimized model. The purpose of developing this optimizer is to achieve highly accurate classifications of seismic images and to assist in resource identification.
We focus on performance evaluation, particularly at depths of 8 meters, to understand how effectively the optimizer can classify seismic images. So far, we have incorporated two of the best existing optimizers to create our hybrid optimizer.