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I applied via LinkedIn and was interviewed in Aug 2024. There were 3 interview rounds.
Average Level questions were only asked
A Decision Tree was given and 2 AI recommended answers were given. I was asked to evaluate the best answer of the two.
I applied via Walk-in and was interviewed before Feb 2021. There were 3 interview rounds.
I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed before Dec 2023. There was 1 interview round.
I appeared for an interview before Feb 2024.
There were total 20 questions .the level of aptitude was easy ,most asked topics probability ,time distance , relationship and direction based questions.
SQL basic queries,joins , subqueries and MySQL instr function related questions asked .
Rank assigns unique ranks to each distinct value, while dense rank does not leave gaps between ranks.
Rank assigns unique ranks to each distinct value in a dataset
Dense rank does not leave gaps between ranks, assigning consecutive ranks to values with the same rank
For example, if values are 10, 20, 20, 30, then rank would be 1, 2, 2, 4 and dense rank would be 1, 2, 2, 3
Merge multiple files in Python using pandas.concat() or pd.merge() functions.
Use pandas.concat() function to merge multiple files vertically (row-wise).
Use pd.merge() function to merge multiple files horizontally (column-wise) based on a common column.
Ensure that the files have compatible column names and data types before merging.
Handle any missing or duplicate values appropriately during the merging process.
Consider ...
A data frame is a two-dimensional data structure in which data is stored in rows and columns.
Data frames are commonly used in programming languages like R and Python for data analysis.
Each column in a data frame represents a variable, while each row represents an observation.
Data frames can contain different types of data, such as numeric, character, and factor.
Data frames can be created from various sources like CSV f
I appeared for an interview in Jan 2025.
I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.
SQL join types include inner join, left join, right join, and full outer join, each producing different outputs.
Inner join: returns rows that have matching values 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
Full outer join: returns all rows when there is a match in either
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