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Novopay Solutions
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I applied via LinkedIn and was interviewed in Apr 2024. There were 4 interview rounds.
Assignment on a product case study in my case it was to design a mvp
I am a data analyst with a background in statistics and experience in analyzing large datasets to drive business decisions.
Graduated with a degree in Statistics
Proficient in data analysis tools such as Python, R, and SQL
Experience in creating visualizations to communicate insights
Strong problem-solving skills
I applied via Instahyre and was interviewed in Jul 2024. There were 3 interview rounds.
HackerEarth based assessment.
1. 8 qs were stats & prob based multiples choices
2. 2 were medium level sql questions.
I applied via Company Website and was interviewed in Apr 2024. There were 2 interview rounds.
Consisted of 10 questions, 2 SQL medium level questions and remaining easy aptitude, profit loss, work time etc
I applied via Naukri.com and was interviewed in Oct 2024. There were 3 interview rounds.
6 mcqs and 2 sql questions
In SQL, 'HAVING' is used with GROUP BY to filter groups, while 'WHERE' is used to filter rows before grouping.
HAVING is used with GROUP BY to filter groups based on aggregate functions
WHERE is used to filter rows before grouping
HAVING is used after GROUP BY in the query, while WHERE is used before GROUP BY
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000;
Example: S
I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.
Basic Hacker Rank SQL Questions 2 . and 10 MCQ based
The query selects all columns and calculates the total amount for each customer in table t2.
The query uses a window function to calculate the sum of 'amt' for each customer in the 't2' table.
The 'partition by customer' clause divides the result set into partitions based on the 'customer' column.
The 'select *' statement selects all columns from the table along with the calculated total amount.
The 'sum(amt) over (partiti...
To find customers who purchased the same item multiple times on the same day.
Identify unique customers who purchased the same item multiple times on the same day
Check for duplicate transactions by customer and item on the same day
Aggregate the data to count the number of customers who made multiple purchases of the same item on the same day
I applied via Approached by Company and was interviewed before May 2021. There were 3 interview rounds.
There was a assignment in angular to create simple e-commerce application!
I appeared for an interview before Jan 2024.
based on 1 interview
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