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I applied via Internshala and was interviewed in Mar 2022. There were 3 interview rounds.
Topic was Boston whale sightings and Over all writing this assignment was a good experience.
I applied via Internshala and was interviewed in Mar 2022. There were 3 interview rounds.
I had to do editing and content writing on a topic of travel writing.
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I applied via LinkedIn and was interviewed in Feb 2022. There was 1 interview round.
I applied via Internshala and was interviewed in Feb 2022. There was 1 interview round.
I applied via LinkedIn and was interviewed in Feb 2022. There was 1 interview round.
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Feb 2023. There were 4 interview rounds.
I am based in [location].
I am currently located in [location].
My base is in [location].
I work from [location].
I am a passionate content writer with experience in various industries.
Experienced content writer
Passionate about writing
Versatile in writing for different industries
Strong research and analytical skills
Excellent grammar and language proficiency
SEO in an article refers to the process of optimizing the content to rank higher in search engine results.
SEO involves using relevant keywords and phrases in the article
The article should have a clear structure and headings to make it easy for search engines to understand
Links to other relevant content can also improve SEO
Meta descriptions and tags should be used to provide a brief summary of the article
SEO helps to in...
I applied via Naukri.com and was interviewed in Sep 2021. There were 5 interview rounds.
I was asked about my writing experience, skills used, and what I can bring to the organization. The round was concise and seamless.
I appeared for an interview in Feb 2025, where I was asked the following questions.
I appeared for an interview in Oct 2024, where I was asked the following questions.
Supervised learning is a machine learning approach where a model is trained on labeled data to make predictions or classifications.
Involves training a model on a dataset with input-output pairs.
Common algorithms include linear regression, decision trees, and support vector machines.
Used for tasks like spam detection (classifying emails) and image recognition (identifying objects in images).
The model learns from the lab...
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