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I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.
It was good. They asked basics of data analysis.
It was basic excel question of excel like lookup formulas
I applied via Naukri.com and was interviewed in Jan 2022. There were 3 interview rounds.
Top trending discussions
My strength is my ability to analyze complex data sets and derive meaningful insights.
Strong analytical skills
Ability to work with large data sets
Proficiency in data visualization tools
Experience in statistical analysis
Problem-solving mindset
I tend to be overly critical of my own work, which can sometimes slow down my progress.
I have a tendency to overanalyze my work, which can lead to delays in completing tasks.
I often spend too much time double-checking my work to ensure accuracy.
I sometimes struggle with prioritizing tasks due to my perfectionist nature.
I am working on improving my time management skills to overcome this weakness.
I applied via LinkedIn and was interviewed in Jun 2024. There were 2 interview rounds.
Sql, numpy, pandas, dictionary, pandas group by, merging
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 4 interview rounds.
2 python questions
2 SQL questions
5 MCQ questions
I applied via Campus Placement and was interviewed in Sep 2021. There were 3 interview rounds.
MCQ and Coding test
I applied via Naukri.com and was interviewed in Sep 2022. There were 3 interview rounds.
List top 3 youngest ages of employees dept wise using SQL.
Use GROUP BY to group employees by department.
Use ORDER BY to sort ages in ascending order.
Use LIMIT to get top 3 youngest ages.
Use MIN to get the youngest age in each department.
List employees whose age is greater than average age of all employees using SQL.
Calculate the average age of all employees using AVG() function.
Use WHERE clause to filter out employees whose age is greater than the average age.
Join the employee table with the age table to get the age of each employee.
Example: SELECT * FROM employees WHERE age > (SELECT AVG(age) FROM employees);
Python program to find the sum of digits till the result becomes a single digit.
Convert the number to a string and iterate through each digit.
Add the digits and store the result.
Repeat the process until the result becomes a single digit.
Return the single digit result.
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