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I applied via Campus Placement and was interviewed in Jul 2023. There were 3 interview rounds.
I see you acknowledge enthusiastic use technically answer the question
Top trending discussions
I applied via LinkedIn and was interviewed in Jun 2024. There were 2 interview rounds.
Sql, numpy, pandas, dictionary, pandas group by, merging
A general apti round
Data analysis assignment
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.
It is good nice and not so tough
I am a data-driven individual with a strong analytical mindset and a passion for problem-solving.
Graduate student majoring in Data Science at XYZ University
Proficient in programming languages such as Python, R, and SQL
Experience with data visualization tools like Tableau and Power BI
Completed projects involving data cleaning, analysis, and interpretation
Strong communication skills and ability to work in a team environm
I applied via LinkedIn and was interviewed before Aug 2022. There were 4 interview rounds.
Will be given test based on Job discription
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
A general apti round
Data analysis assignment
I applied via Naukri.com and was interviewed in Sep 2022. There were 2 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.
I applied via LinkedIn and was interviewed in Jun 2024. There were 2 interview rounds.
Sql, numpy, pandas, dictionary, pandas group by, merging
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