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I applied via LinkedIn and was interviewed in Feb 2021. There was 1 interview round.
The Communication rule is a guideline that helps in effective communication. It was developed by Paul Watzlawick.
The Communication rule states that it is impossible to not communicate.
According to this rule, every behavior, verbal or non-verbal, conveys a message.
Even silence or lack of response communicates something.
The rule emphasizes the importance of being aware of our communication and its impact.
It encourages in...
Body language is a non-verbal form of communication.
Body language includes gestures, facial expressions, posture, and eye contact.
It can convey emotions, attitudes, and intentions.
For example, crossed arms may indicate defensiveness or closed-off behavior.
Maintaining eye contact can show interest and engagement.
Body language can complement or contradict verbal communication.
Shaking hands is a common gesture of greeting and respect in many cultures.
Shaking hands should be firm but not too strong.
Maintain eye contact while shaking hands.
Avoid shaking hands if you are sick or have dirty hands.
In some cultures, it is customary to shake hands with both hands or to bow instead.
Women may prefer not to shake hands due to cultural or religious reasons.
Always be aware of cultural differences and ad...
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posted on 2 Jun 2023
I applied via Company Website and was interviewed before Jun 2022. There were 2 interview rounds.
You might be an expert. But still 2/3 days of preparation is highly needed.
The best attributes of a soft skills trainer include strong communication skills, empathy, adaptability, patience, and a passion for helping others improve.
Strong communication skills to effectively convey concepts and engage with trainees
Empathy to understand the needs and challenges of trainees and provide support
Adaptability to tailor training methods to different learning styles and personalities
Patience to work th...
Yes, I have experience writing content for soft skills training materials.
I have written content for various soft skills training modules such as communication, leadership, and teamwork.
I ensure the content is engaging, informative, and tailored to the specific needs of the audience.
I incorporate real-life examples, case studies, and interactive exercises to enhance learning and retention.
I am proficient in creating wr...
posted on 16 Apr 2021
I applied via Company Website and was interviewed in Mar 2021. There was 1 interview round.
posted on 27 Dec 2021
I applied via Facultyplus and was interviewed before Dec 2020. There was 1 interview round.
posted on 15 Jul 2022
I applied via Recruitment Consulltant and was interviewed in Jun 2022. There were 2 interview rounds.
I applied via Referral and was interviewed in Sep 2023. There were 3 interview rounds.
posted on 9 Aug 2023
I applied via Referral and was interviewed before Aug 2022. There were 4 interview rounds.
posted on 16 Nov 2023
I applied via Walk-in and was interviewed before Nov 2022. There were 3 interview rounds.
posted on 1 Oct 2024
I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.
posted on 12 Sep 2020
I applied via Company Website and was interviewed in Aug 2020. There was 1 interview round.
I am comfortable in various subjects, particularly in advanced mathematics, computer science, and educational psychology.
Advanced Mathematics: Proficient in calculus, linear algebra, and statistics, with experience teaching these subjects at the undergraduate level.
Computer Science: Strong background in programming languages such as Python and Java, and experience in software development and algorithms.
Educational Psyc...
Deep in deep learning refers to the multiple layers of neural networks used to process complex data.
Deep learning involves multiple layers of artificial neural networks
These layers allow for the processing of complex data such as images, speech, and natural language
The depth of the network allows for more accurate predictions and classifications
Examples of deep learning applications include image recognition, speech re...
No, the deepness of a model depends on the complexity of the problem and the number of abstract features it needs to learn.
The number of layers and neurons can affect the performance and accuracy of the model, but it's not the only factor.
A simple problem may require only a few layers and neurons, while a complex problem may need more.
The deepness of a model can also be influenced by the type of layers used, such as co...
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