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I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
I would rate my SQL skills as advanced.
Proficient in writing complex SQL queries
Experienced in optimizing database performance
Skilled in data manipulation and analysis using SQL
Familiar with stored procedures and functions
Have worked on large datasets in previous projects
I would rate my Python skills as advanced.
Proficient in data manipulation and analysis using pandas and numpy
Experience with data visualization libraries like matplotlib and seaborn
Familiar with machine learning libraries such as scikit-learn
Comfortable working with APIs and web scraping using requests and BeautifulSoup
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
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I was interviewed in Aug 2017.
I was interviewed in Sep 2016.
I applied via Naukri.com and was interviewed in Jun 2020. There were 3 interview rounds.
I was interviewed before Nov 2016.
I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
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