Filter interviews by
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.
Use customer transaction history to identify frequent shoppers
Analyze customer behavior patterns such as repeat purchases and average spend
Implement loyalty programs to incentivize repeat purchases
Utilize customer feedback and reviews to gauge loyalty
Segment customers based on their shopping habits and preferenc
It depends on the business model and goals of the company.
Small transactions everyday can lead to consistent revenue streams and customer engagement.
Big transactions in a month can indicate high purchasing power and potential for larger profits.
Consider customer lifetime value, retention rates, and overall business strategy when determining value.
I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.
Review historical sales data to identify patterns or seasonality
Conduct customer surveys or interviews to gather feedback
Analyze competitor data to understand market dynamics
Implement predictive modeling to forecast future sales
Collaborate with marketing team to develop targeted strategies
I would showcase the potential benefits and results of my innovative approach to convince the team.
Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.
Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.
Encourage open discussion and collaboration within the team to explore the potential of combining ...
1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?
Basic Python , numpy and pandas MCQ and easy coding question
Basic ML Case interview. Asked to find "How check if a promotion was successful"
I was interviewed before Mar 2023.
Top trending discussions
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 4 interview rounds.
It was MCQ in simple aptitude, python and SQL questions
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
SQL, Python coding …
posted on 19 Apr 2024
I applied via Campus Placement
It was brain teasing and more of stats
I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria
Red category typically represents data that needs immediate attention or action
Amber category represents data that requires monitoring or further investigation
Green category represents data that...
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
Confusion matrix is a table that describes the performance of a classification model.
It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.
These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...
General python questions
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
SQL, Python coding …
based on 10 reviews
Rating in categories
Senior Applied Data Scientist
128
salaries
| ₹10.9 L/yr - ₹18 L/yr |
Applied Data Scientist
85
salaries
| ₹10 L/yr - ₹16.5 L/yr |
Lead Applied Data Scientist
81
salaries
| ₹17 L/yr - ₹28.5 L/yr |
Senior Engineer
61
salaries
| ₹10 L/yr - ₹28 L/yr |
Senior Data Scientist
47
salaries
| ₹9 L/yr - ₹28 L/yr |
Fractal Analytics
Mu Sigma
AbsolutData
Algonomy