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I applied via Walk-in and was interviewed in Apr 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 and attention to detail
I have worked on a project analyzing customer behavior data for a retail company.
Used SQL to extract and manipulate data from the company's database
Performed data cleaning and preprocessing to ensure accuracy
Utilized Python for data analysis and visualization
Generated insights on customer purchasing patterns and preferences
Presented findings to stakeholders for decision-making
Hypothesis testing is a statistical method used to determine if there is enough evidence to reject a null hypothesis.
Hypothesis testing involves setting up a null hypothesis and an alternative hypothesis.
It uses sample data to determine whether the null hypothesis can be rejected.
The process involves calculating a test statistic and comparing it to a critical value or p-value.
Common tests include t-tests, chi-square te...
My passion lies in using data to uncover insights and drive decision-making. In 5 years, I see myself leading a team of analysts and making a significant impact on the organization.
Passion for data analysis and using it to drive decision-making
Goal of leading a team of analysts in the future
Desire to make a significant impact on the organization
Continuous learning and growth in the field of data analysis
I was interviewed in Mar 2024.
Top trending discussions
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
The Aptitude Test session accesses mathematical and logical reasoning abilities
Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.
Vlookup stands for 'Vertical Lookup'
It is commonly used in Excel to search for a value in the leftmost column of a table and return a value in the same row from a specified column
Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
Example: =VLOOKUP(A2, B2:D10, 3, FALSE) - searc...
My day in my previous organization involved analyzing large datasets, creating reports, and presenting findings to stakeholders.
Reviewing and cleaning large datasets to ensure accuracy
Creating visualizations and reports to communicate insights
Collaborating with team members to identify trends and patterns
Presenting findings to stakeholders in meetings or presentations
I possess strong technical skills in data analysis, including proficiency in programming languages, statistical analysis, and data visualization tools.
Proficient in programming languages such as Python, R, SQL
Skilled in statistical analysis and data modeling techniques
Experience with data visualization tools like Tableau, Power BI
Knowledge of machine learning algorithms and techniques
A Pivot Table is a data summarization tool used in spreadsheet programs to analyze, summarize, and present data in a tabular format.
Pivot tables allow users to reorganize and summarize selected columns and rows of data to obtain desired insights.
Users can easily group and filter data, perform calculations, and create visualizations using pivot tables.
Pivot tables are commonly used in Excel and other spreadsheet program...
To find the highest-paid employee in each department, we need to group employees by department and then select the employee with the highest salary in each group.
Group employees by department
Find the employee with the highest salary in each group
Retrieve the employee's name, salary, and department name
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Data analysis is crucial for making informed decisions, identifying trends, and solving complex problems.
Helps in making informed decisions based on data-driven insights
Identifies trends and patterns that can lead to strategic business decisions
Aids in solving complex problems by analyzing data to find root causes
Improves efficiency and effectiveness of processes through data-driven optimizations
To become a data analyst, one should focus on acquiring relevant education, gaining experience with data analysis tools, and developing strong analytical and problem-solving skills.
Obtain a degree in a related field such as statistics, mathematics, computer science, or data science.
Gain experience with data analysis tools such as SQL, Python, R, and Excel.
Develop strong analytical and problem-solving skills by working ...
Alteryx data processing and reporting
I applied via Walk-in and was interviewed in Nov 2024. There were 2 interview rounds.
Online aptitude test with maths and statistics and data analysis
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
Logical,verbal,quants
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