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Resultant rows for different SQL joins
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 left or right table
I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
The test covered questions around stats (mean, median, etc), python, SQL and aptitude questions
Q1. Write a python code for the Fibonacci series.
Q2. Write a SQL code find the mean salary for every department.
Q3. Write a SQL code to find the employee age at the time of joining the company.
Q4. Rewrite the above queries in Python.
loc and iloc are methods in pandas used for selecting rows and columns by label or integer position.
loc is used for selecting rows and columns by label
iloc is used for selecting rows and columns by integer position
Example: df.loc[0:5, 'column_name']
Example: df.iloc[0:5, 2]
Vlookup is simpler and easier to use, while Index Match is more flexible and efficient.
Vlookup is easier for beginners to understand and use
Vlookup is quicker to set up and requires less formula writing
Index Match is more flexible as it can look up values in any column, not just the first one
Index Match is more efficient for large datasets as it does not require the entire column to be searched
BRD focuses on business requirements while FRD focuses on functional requirements.
BRD (Business Requirements Document) outlines the business problem that needs to be solved.
FRD (Functional Requirements Document) details how the system will meet the business requirements.
BRD is more high-level and focuses on the 'what', while FRD is more detailed and focuses on the 'how'.
BRD is typically created before FRD in the projec...
Retail experience and analysis
I have over 5 years of experience in retail industry analysis
Proficient in using data analytics tools to track sales trends and customer behavior
Implemented strategies based on market research to increase sales and customer satisfaction
Collaborated with cross-functional teams to optimize inventory management and pricing strategies
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I was interviewed before Feb 2023.
posted on 3 Jun 2021
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Append and Merge are two methods used to combine data from multiple sources into a single dataset.
Append adds new rows to an existing dataset.
Merge combines two or more datasets based on a common column or key.
Append is useful when adding new data to an existing dataset, while Merge is useful for combining datasets with related information.
Example: Appending new sales data to an existing sales dataset.
Example: Merging ...
I applied via Naukri.com and was interviewed in Sep 2022. There were 3 interview rounds.
SQL test has been conducted nearer to 12-15 questions.
Go for general aptitude questions.
posted on 10 Dec 2021
I applied via Referral and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Nov 2023. There were 4 interview rounds.
Blood Relations, Pipes and Cisterns, Time and work etc.
Question based on hashmap
Is Artificial Intelligence boon or ban.
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