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I applied via LinkedIn and was interviewed before Dec 2023. There were 3 interview rounds.
I applied via Approached by Company and was interviewed before Aug 2023. There was 1 interview round.
I have experience working as a data analyst in various industries, utilizing statistical analysis and data visualization tools.
Worked as a data analyst at XYZ Company, analyzing sales data to identify trends and make recommendations for improvement
Utilized SQL and Python to extract and manipulate data from databases
Created interactive dashboards using Tableau to present findings to stakeholders
Performed A/B testing to ...
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I applied via Recruitment Consulltant and was interviewed in Oct 2024. There were 2 interview rounds.
Logical reasoning numerical English sum
Python power bi sql tablue
posted on 20 Dec 2024
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Data normalization involves breaking down data into smaller, manageable parts.
It helps in reducing data redundancy by eliminating duplicate data.
Normalization ensures data integrity by minimizing data anomalies.
It involves organizing data into tables and establishing relationships between them.
Normalizatio...
Tableau Developer
I was given an assignment where I had to build dashboard with final story within 1 hour
I applied via Recruitment Consulltant and was interviewed before May 2021. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
Rank, Dense Rank, and Row Number are window functions used in SQL to assign a rank to each row based on a specific criteria.
Rank assigns a unique rank to each row based on the specified order.
Dense Rank assigns a unique rank to each row without any gaps, even if there are ties.
Row Number assigns a unique sequential integer to each row, without any regard to the order of the rows.
posted on 16 Apr 2024
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
I am a detail-oriented data analyst with a strong background in statistics and programming.
Graduated with a degree in Statistics
Proficient in programming languages such as Python and R
Experience in data cleaning, analysis, and visualization
Strong problem-solving skills
Excellent communication and teamwork abilities
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