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I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
Basic aptitude easy test
My hobbies include exploring new algorithms in AI/ML, participating in Kaggle competitions, and attending tech meetups.
Exploring new algorithms in AI/ML
Participating in Kaggle competitions
Attending tech meetups
Top trending discussions
I applied via Campus Placement and was interviewed in Dec 2024. There was 1 interview round.
2 questions of DSA medium to hard
I applied via Campus Placement and was interviewed before Mar 2023. There was 1 interview round.
2 medium hard level questions. We just have to code and explain it. Platform doesn't have compilers.
Reverse array of strings
Iterate through the array and swap elements from start to end
Use two pointers, one at the beginning and one at the end, and swap elements until they meet
Reverse a given string
Use built-in functions like reverse() or loop through the string in reverse order
Create a new string and append characters from the original string in reverse order
Convert the string to an array of characters, reverse the array, and then join it back into a string
Calculate sum of all elements in a given array of strings
Iterate through the array and convert each element to integer before adding to sum
Handle edge cases like empty array or non-numeric elements
Return the final sum after iterating through all elements
I appeared for an interview before Oct 2023.
Good Knowledge of DSA is required
I applied via Referral and was interviewed in Jul 2023. There were 2 interview rounds.
SQL is used in various domains for data analysis and reporting. Use cases include financial analysis, inventory management, and customer relationship management.
Financial analysis - using SQL to analyze revenue, expenses, and profitability
Inventory management - tracking stock levels, orders, and shipments
Customer relationship management - analyzing customer data, preferences, and interactions
I applied via Walk-in and was interviewed before Aug 2022. There were 4 interview rounds.
Test of SQL, Tableau and other skills based on your resume on Skillate
I applied via Referral and was interviewed in Feb 2024. There were 3 interview rounds.
The first round was a combination of MCQs and SQL Coding test. It consisted of 23 MCQs on SQL, 10 MCQs on Power BI and 5 SQL Coding questions.
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Pivot tables allow you to analyze and summarize large amounts of data in a spreadsheet.
You can easily rearrange the layout of the data to view it from different perspectives.
Pivot tables can perform functions like sum, average, count, and more on the data.
They are useful for creating reports...
Data Validation in Excel ensures that data entered in a cell meets certain criteria or conditions.
Data Validation allows you to set rules for what can be entered in a cell, such as a range of values, a list of items, or a custom formula.
Examples of Data Validation include setting a drop-down list of options for a cell, restricting input to a certain number range, or ensuring dates are entered in a specific format.
Data ...
The order of execution of an SQL query involves multiple steps to retrieve data from a database.
1. Parsing: The SQL query is first parsed to check for syntax errors.
2. Optimization: The query optimizer creates an execution plan to determine the most efficient way to retrieve data.
3. Compilation: The optimized query is compiled into an executable form.
4. Execution: The compiled query is executed by the database engine t...
Tree Map visualizes hierarchical data using nested rectangles, while Heatmap displays data values using color gradients.
Tree Map displays data hierarchically with nested rectangles, where the size and color represent different measures.
Heatmap visualizes data values using color gradients, with darker colors indicating higher values.
Tree Map is useful for showing hierarchical data structures, while Heatmap is effective ...
Extract Data saves a snapshot of data in Tableau workbook, while Live Connection directly connects to data source.
Extract Data creates a static copy of data in Tableau workbook, while Live Connection directly queries data source in real-time.
Extract Data is useful for working offline or with small datasets, while Live Connection is ideal for large datasets or when data is frequently updated.
Extract Data can improve per...
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