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I applied via Referral and was interviewed in Mar 2024. There was 1 interview round.
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It was hackerrank test
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
Would give data and stats and tell us to interpret or metric
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 Approached by Company and was interviewed in Aug 2022. There were 4 interview rounds.
Online test on Hackerrank 7 questions in 120 minutes. 4 questions were easy last 3 were mainly focused on Retention and retained user definition that was too specific to the cred use case.
The top 3 metrics I would look at as the PM of Netflix are subscriber growth, user engagement, and content performance.
Subscriber growth: This metric indicates the success of Netflix in acquiring new customers and expanding its user base. It helps measure the effectiveness of marketing strategies and the overall popularity of the platform.
User engagement: This metric measures how actively users are interacting with the...
Row number is a sequential number assigned to each row, while dense rank assigns a unique rank to each distinct value.
Row number is assigned in sequential order to each row in a result set.
Dense rank assigns a unique rank to each distinct value in a result set.
Row number is not affected by ties, while dense rank is affected by ties.
For example, if there are two rows with the same value in a dense rank, they will both r...
To find the total time spent by employees, calculate the difference between sign-in and sign-out times for each employee and sum them up.
Iterate through the data for each employee
Calculate the time difference between sign-in and sign-out for each employee
Sum up the time differences to get the total time spent by all employees
I applied via Campus Placement and was interviewed before Apr 2023. There was 1 interview round.
Aptitude tests + 3 Rounds
I applied via Referral and was interviewed in Sep 2022. There were 4 interview rounds.
First round of test consisted of sql questions , medium and easy level
I applied via Referral and was interviewed before Aug 2023. There were 3 interview rounds.
Sql mainly windows function aggregate function
How would you imprpve netflix recommendation system.
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