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I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 interview rounds.
1. Basic python syntax
2. Basic pyspark transformation
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I was interviewed in Sep 2024.
I am a data analyst with a strong background in statistics and data visualization.
Experienced in analyzing large datasets using SQL, Python, and R
Skilled in creating insightful reports and dashboards using Tableau and Power BI
Strong communication skills to present findings to stakeholders
Certified in data analysis and machine learning techniques
My strength lies in my analytical skills and attention to detail, while my weakness is sometimes getting too caught up in the details.
Strength: Strong analytical skills
Strength: Attention to detail
Weakness: Getting caught up in details (provide example)
I applied via Naukri.com and was interviewed before Mar 2023. There was 1 interview round.
I applied via Instahyre and was interviewed in Aug 2024. There was 1 interview round.
It is difficult to accurately estimate the number of cricket bats sold in a year without specific data.
The number of cricket bats sold in a year can vary based on factors such as seasonality, popularity of cricket, and market trends.
One approach to estimate could be to consider the total population of cricket-playing countries and the average number of bats owned by players.
Another approach could be to look at the sale...
I applied via Referral
I applied via Referral and was interviewed in Oct 2021. There was 1 interview round.
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Nothing much just . Joins in SQL and advance Excel
I applied via LinkedIn and was interviewed in Feb 2022. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Nov 2021. There were 6 interview rounds.
Offline data is important for companies as it provides insights into customer behavior and preferences.
Offline data can help companies understand customer behavior and preferences
It can be used to identify trends and patterns in customer data
Offline data can also be used to improve customer experience and personalize marketing efforts
Examples of offline data include in-store purchases, customer service interactions, an...
Yes, we can use the Fill Down feature in Google Sheets to fill information in all selected blank spaces in just one click.
Select the cell with the information you want to fill
Hover over the bottom right corner of the cell until the cursor changes to a small blue square
Click and drag the blue square down to the last cell where you want the information to be filled
posted on 26 Jan 2017
I was interviewed before Jan 2016.
based on 1 interview
Interview experience
based on 5 reviews
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