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I appeared for an interview in Jan 2025.
It was a round of multiple-choice questions focused on aptitude and SQL, lasting approximately an hour.
The second round consisted of multiple-choice questions on Python and a coding question focused on topics related to data analytics, specifically using Pandas and NumPy.
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 .
Assignment of Google sheets
Analysis and logical reasoning involve examining data, identifying patterns, and drawing conclusions based on evidence.
Analysis involves breaking down complex information into smaller components for better understanding.
Logical reasoning is the process of using rational thinking to make sense of information and draw valid conclusions.
Analytical skills are essential for interpreting data accurately and making informed d...
I applied via Company Website and was interviewed in Apr 2022. There were 2 interview rounds.
Puzzles
Case Study
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 Recruitment Consulltant and was interviewed in Sep 2024. There were 3 interview rounds.
Questions related to logical thinking
Common topics related to AI & other stuffs
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
Send assignment doings MS Excel
based on 3 interviews
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