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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 and attention to detail
I have 3 years of experience as a Data Analyst in the retail industry.
Utilized SQL to extract and analyze data from databases
Created visualizations using Tableau to present insights to stakeholders
Performed statistical analysis to identify trends and patterns in sales data
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There was 1 interview round.
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
Data cleaning involves removing or correcting errors in a dataset to ensure accuracy and consistency.
Remove duplicate entries
Fill in missing values
Correct formatting errors
Identify and remove outliers
Standardize data types
I applied via Recruitment Consulltant and was interviewed before Sep 2023. There was 1 interview round.
I have over 5 years of experience in data analysis, including working with large datasets, creating visualizations, and providing actionable insights.
Experience in cleaning and transforming data to ensure accuracy and consistency
Proficient in using statistical tools and techniques to analyze data
Ability to create data visualizations and dashboards to communicate findings
Experience in identifying trends and patterns in ...
Courses in data analyst cover topics such as statistics, data visualization, machine learning, and data mining.
Statistics: Understanding of statistical concepts and techniques for data analysis.
Data Visualization: Creating visual representations of data to aid in analysis and decision-making.
Machine Learning: Using algorithms and models to analyze and make predictions based on data.
Data Mining: Extracting patterns and ...
I applied via Naukri.com and was interviewed before Dec 2022. There were 4 interview rounds.
Ola Electric Mobility interview questions for designations
Top trending discussions
I applied via campus placement at National Institute of Technology (NIT), Warangal and was interviewed in Nov 2024. There were 3 interview rounds.
Apptitude and technical mcqs
I applied via campus placement at National Institute of Technology (NIT), Warangal and was interviewed in Nov 2024. There were 3 interview rounds.
Apptitude and technical mcqs
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
ETL process involves extracting data from various sources, transforming it to fit business needs, and loading it into a target database.
Extract: Retrieve data from different sources like databases, files, APIs, etc.
Transform: Clean, filter, aggregate, and convert data to meet business requirements.
Load: Insert the transformed data into a target database or data warehouse.
Example: Extracting sales data from a CRM system...
Use os.path.getsize() to check if file size is 0
Use os.path.getsize() to get the size of the file in bytes
Check if the size is 0 to determine if the file is empty
Outliers can be overcome by identifying and removing them or by transforming the data.
Identify outliers using statistical methods like z-scores or box plots.
Remove outliers by either deleting the data points or replacing them with a more appropriate value.
Transform the data using techniques like winsorization or log transformation to reduce the impact of outliers.
Consider the context and domain knowledge to determine t...
I was interviewed before Jan 2024.
I applied via Approached by Company and was interviewed in Jun 2022. There were 5 interview rounds.
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