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I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
I have a degree in data analytics and relevant work experience.
I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau.
I have successfully completed projects where I identified trends and patterns in data to drive business decisions.
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
I appeared for an interview in Aug 2017.
I appeared for an interview in Sep 2016.
I appeared for an interview before Nov 2016.
I applied via Walk-in and was interviewed before Feb 2021. There were 4 interview rounds.
I applied via Company Website and was interviewed in Apr 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2021. There was 1 interview round.
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Data Analyst
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