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I applied via Referral and was interviewed before Mar 2021. There were 3 interview rounds.
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posted on 19 Sep 2024
I applied via LinkedIn
I am a passionate and experienced Learning & Development Specialist with a strong background in designing and delivering effective training programs.
Over 5 years of experience in creating engaging learning materials
Skilled in conducting needs assessments and developing training plans
Proficient in utilizing various instructional design methodologies
Strong communication and presentation skills
Proven track record of impro...
posted on 4 Nov 2024
I applied via Company Website and was interviewed before Nov 2023. There were 2 interview rounds.
PPT-based Instructional Interview questions
I want to be an Instructional Designer because I am passionate about creating engaging and effective learning experiences.
Passion for creating engaging learning experiences
Enjoy designing and developing training materials
Strong communication and collaboration skills
Desire to help others learn and grow
Interest in instructional design theories and methodologies
posted on 23 Mar 2024
posted on 9 May 2024
Prepare a module and facilitate sessions to panel.
I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.
Logical, Verbal, reasoning 90 mins
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
posted on 24 Jul 2024
We have worked on various projects involving image recognition, natural language processing, and predictive analytics.
Image recognition: Developed a model to classify different types of fruits based on images.
Natural language processing: Created a sentiment analysis tool for customer reviews.
Predictive analytics: Built a model to forecast sales based on historical data.
A module in machine learning is a self-contained unit that performs a specific task or function.
Modules can include algorithms, data preprocessing techniques, evaluation metrics, etc.
Modules can be combined to create a machine learning pipeline.
Examples of modules include decision trees, support vector machines, and k-means clustering.
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