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I applied via Company Website and was interviewed in Dec 2022. There were 4 interview rounds.
Utilize data visualization, statistical analysis, and machine learning techniques to identify patterns and correlations in large datasets for strategic decision making.
Perform exploratory data analysis to understand the structure and relationships within the dataset
Utilize data visualization techniques such as scatter plots, histograms, and heatmaps to identify patterns and correlations
Conduct statistical analysis incl...
To analyze a complex dataset, start by understanding the data, cleaning and structuring it, performing exploratory data analysis, applying statistical methods, and creating visualizations for insights.
Understand the business objectives and goals to align the analysis with company's growth strategy.
Clean and structure the dataset by identifying and handling missing values, outliers, and inconsistencies.
Perform explorato...
Encountered a complex data analysis problem and successfully navigated through it
Encountered a data set with missing values and outliers
Utilized data cleaning techniques such as imputation and outlier detection
Applied statistical analysis and machine learning algorithms to identify patterns and trends
Visualized the data using tools like Tableau for better understanding
Collaborated with domain experts to gain insights a
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I applied via Company Website and was interviewed in Mar 2024. There were 2 interview rounds.
Good questions. 3 SQL case studies at end
I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.
AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.
AB testing involves creating two versions (A and B) of a webpage or app with one differing element
Users are randomly assigned to either version A or B to measure performance metrics
The version that performs better in terms of the desired outcome is selected for implementation
Example: Testing two different call...
It was a classification problem
I have worked on projects involving data analysis, visualization, and predictive modeling.
Developed predictive models using machine learning algorithms
Performed data cleaning and preprocessing to ensure data quality
Created interactive dashboards for data visualization
Collaborated with cross-functional teams to derive insights from data
I applied via campus placement at Sastra University and was interviewed in Mar 2024. There were 2 interview rounds.
Well designed to test the aptitude competence of the candidate.
I applied via Company Website and was interviewed in Jul 2021. There was 1 interview round.
Complex SQL scenarios and their results
Using subqueries to filter data
Joining multiple tables with complex conditions
Using window functions to calculate running totals
Pivoting data to transform rows into columns
Using recursive queries to traverse hierarchical data
I applied via Company Website and was interviewed before May 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before May 2021. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
Use conditional formatting to highlight odd cells in Excel
Select the range of cells you want to highlight
Go to the 'Home' tab and click on 'Conditional Formatting'
Choose 'New Rule' and select 'Use a formula to determine which cells to format'
Enter the formula '=MOD(A1,2)=1' (assuming A1 is the top-left cell of your selected range)
Choose the formatting style you want for the odd cells
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
INNER JOIN returns rows when there is at least one match in both tables
LEFT JOIN returns all rows from the left table and the matched rows from the right table
RIGHT JOIN returns all rows from the right table and the matched rows from the left table
FU...
Use window function to calculate running sum of salary in SQL
Use window function like SUM() with OVER() clause
Partition the data by employee ID if needed
Order the data by date or any other relevant column
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