Filter interviews by
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
I am a data analyst with a strong background in statistics and data visualization.
Experienced in using tools like SQL, Python, and Tableau for data analysis
Skilled in interpreting and presenting data insights to stakeholders
Strong understanding of statistical methods and data modeling techniques
I have a strong background in data analysis, with experience in utilizing various analytical tools and techniques to derive insights from data.
I have a degree in Statistics and have completed multiple data analysis projects during my academic career.
I am proficient in using programming languages such as Python and R for data analysis.
I have experience in working with SQL databases and extracting data for analysis.
I hav...
I have worked on various projects involving data analysis, visualization, and interpretation.
Developed predictive models using machine learning algorithms
Performed data cleaning and preprocessing to ensure accuracy
Created interactive dashboards for data visualization
Conducted A/B testing to analyze the impact of changes
Collaborated with cross-functional teams to derive insights from data
I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
I applied via Indeed and was interviewed before Nov 2019. There were 3 interview rounds.
I appeared for an interview in Jul 2021.
Qus. Of multiple times
Coding the program
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
A train running at the speed of 60 km/hr crosses a pole of 9 seconds. what is hte length of train?
Print all prime numbers
I applied via Approached by Company and was interviewed before Apr 2023. There were 4 interview rounds.
Aptitudee,reasioning,maths
Coding was moderate 3 questiins will be given
Topic on politics for 5 members
Mu Sigma is a decision sciences and analytics company that focuses on solving complex business problems using data science.
Mu Sigma is a company that specializes in decision sciences and analytics, using data science to solve complex business problems.
Decision sciences involve making strategic decisions based on data analysis, while data science focuses on extracting insights from data using various techniques.
Mu Sigma...
I applied via Campus Placement and was interviewed in Oct 2023. There were 2 interview rounds.
Moderate level MCQ questions
Asked moderate level guesstimates and puzzles in 2 round
I applied via Approached by Company and was interviewed in May 2024. There was 1 interview round.
Use the sorted() function to sort an array of strings in Python.
Use the sorted() function with the array as input to get a new sorted array.
You can use the reverse parameter to sort in descending order.
You can use the key parameter to specify a custom sorting key.
Example: sorted_array = sorted(array)
Use the concatenate function from numpy to merge two arrays in Python.
Import numpy library
Use np.concatenate() function to merge the arrays
Ensure both arrays have the same data type
Use SQL query with ORDER BY and LIMIT to find 2nd highest salary
Use ORDER BY clause to sort salaries in descending order
Use LIMIT 1,1 to skip the highest salary and get the second highest
Example: SELECT salary FROM employees ORDER BY salary DESC LIMIT 1,1
Running total in SQL is achieved by using window functions like SUM() with OVER() clause.
Use SUM() function with OVER() clause to calculate running total.
Specify the window frame with ORDER BY in the OVER() clause.
Running total can be reset based on certain conditions using PARTITION BY in the OVER() clause.
Query to get number of matches played and won by each team from a table of match details.
Use GROUP BY clause to group the data by team name.
Use COUNT() function to get the number of matches played by each team.
Use SUM() function with a condition to get the number of matches won by each team.
based on 2 interviews
Interview experience
based on 11 reviews
Rating in categories
Research Executive
156
salaries
| ₹5.9 L/yr - ₹11 L/yr |
Analyst
136
salaries
| ₹5.6 L/yr - ₹9.8 L/yr |
Senior Research Executive
119
salaries
| ₹8 L/yr - ₹13.5 L/yr |
Data Analyst
74
salaries
| ₹4 L/yr - ₹9 L/yr |
Research Manager
70
salaries
| ₹8.7 L/yr - ₹17.5 L/yr |
Nielsen Holdings
Kantar
GfK MODE
Market Xcel Data Matrix