Filter interviews by
I was interviewed before Sep 2020.
Round duration - 95 minutes
Round difficulty - Easy
It was easy not much difficult , if your basics were clear then you can easily pass this round .
You are given a set of 'N' stones, each with a specific weight and color. The goal is to fill a knapsack with exactly 'M' stones, choosing one stone of each color, so that the to...
The goal is to fill a knapsack with exactly 'M' stones, one of each color, minimizing unused capacity.
Iterate through stones, keeping track of weights for each color
Sort stones by weight and color, then select one stone of each color
Calculate total weight for selected stones and find minimum unused capacity
Round duration - 20 minutes
Round difficulty - Easy
They just give basic questions
Tip 1 : Confidence is the key to excel any interview. Practice more questions and build up your confidence level.
Tip 2 : Understand the concepts first behind each algorithm and try to solve around 20-25 questions for each data structure. Practice the data structure portion from Codezen(they have really good content coverage and the right pool of questions), read few interview experiences from Geeks for Geek and the Algorithm questions from Leetcode.
Tip 3 : In an interview, if you get stuck in any question, don't panic. Try to ask about the constraints and cases from the interviewer and extract hints from it. Interviewers usually help you to reach to a solution.
Tip 1 : Keep it short and crisp. Utilise one full page wisely to describe yourself. It should not be more than a page.
Tip 2 : Focus on the Projects/Work Experience and Achievements Section.
I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in May 2021. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed in Sep 2021. There were 4 interview rounds.
In my previous company, I worked as a Consultant where I provided expert advice and solutions to clients.
Analyzed client's business processes and identified areas for improvement
Developed and implemented strategies to optimize client's operations
Conducted market research and competitor analysis to identify market trends
Provided recommendations and solutions to clients based on data analysis
Collaborated with cross-funct...
I applied via Referral and was interviewed before Dec 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2022. There were 4 interview rounds.
Explanation of adstock, decay, Due tos Contributions, seasonality and its formula.
Adstock is the measure of the lasting impact of advertising on consumer behavior.
Decay refers to the reduction in the effectiveness of advertising over time.
Due tos Contributions is the attribution of sales to different marketing channels.
Seasonality is the pattern of sales or other metrics that repeat over a fixed period of time.
The form...
I applied via Job Portal and was interviewed in Feb 2024. There were 2 interview rounds.
Aptitude test are basically asked from reasonable and patterns type questions.
Tooics are given from businesses and case study
Case study on different aspects of analytics
I applied via LinkedIn and was interviewed before Aug 2021. There were 4 interview rounds.
A technical test for whatever technical round you are applying for. Will be conceptual test rather than hard/coded test
To derive % share in Power BI, use the 'Group By' function and create a measure using the 'Divide' function.
Use the 'Group By' function to group the data by the desired category
Create a measure using the 'Divide' function to calculate the percentage share
Add the measure to a visual to display the % share
Example: = DIVIDE(SUM(Sales[Revenue]), CALCULATE(SUM(Sales[Revenue]), ALL(Sales)))
Data Scientist
9
salaries
| ₹0 L/yr - ₹0 L/yr |
Jr. Data Scientist
7
salaries
| ₹0 L/yr - ₹0 L/yr |
Business Analyst
6
salaries
| ₹0 L/yr - ₹0 L/yr |
Production Analyst
5
salaries
| ₹0 L/yr - ₹0 L/yr |
Backend Developer
4
salaries
| ₹0 L/yr - ₹0 L/yr |
Fractal Analytics
Tiger Analytics
Mu Sigma
LatentView Analytics