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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
Top trending discussions
I was interviewed in Jul 2017.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
I was interviewed 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 Campus Placement and was interviewed in Oct 2022. There were 4 interview rounds.
1 easy sql and 1 easy python for 55 min
1 easy python and very hard sql for 1 hr 50 min
Answering a question on writing a join and implementing left join using pandas for Data Analyst role.
To write a join, we need to identify the common column(s) between two tables and use the JOIN keyword in SQL.
Example: SELECT * FROM table1 JOIN table2 ON table1.common_column = table2.common_column
To implement left join using pandas, we can use the merge() function with how='left' parameter.
Example: pd.merge(table1, tab
I applied via Naukri.com and was interviewed in Oct 2024. There was 1 interview round.
1 hr exam it is easy to crack
I applied via Indeed and was interviewed before Nov 2019. There were 3 interview rounds.
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 Referral and was interviewed in Sep 2024. There was 1 interview round.
Python strings are immutable, meaning they cannot be changed once created.
Python strings are immutable, so any operation that appears to modify a string actually creates a new string object.
For example, when you use string concatenation or slicing, a new string is created instead of modifying the original string.
To modify a string in Python, you would need to create a new string with the desired changes.
HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows
HAVING is used with GROUP BY clause to filter the groups based on aggregate functions
WHERE is used to filter rows based on conditions
HAVING is applied after the GROUP BY clause, WHERE is applied before
HAVING can only be used with SELECT statement that contains a GROUP BY clause
Example: SELECT department, AVG(salary) FROM employees GROUP BY depar...
Use Python's set() function to remove duplicate values from an array of strings.
Convert the array to a set to automatically remove duplicates
Convert the set back to a list if needed
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
based on 2 interviews
Interview experience
based on 11 reviews
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