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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.
What people are saying about Dunnhumby
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
I have implemented customer analytics in various industries including e-commerce and retail.
Implemented customer segmentation analysis to identify different customer groups based on behavior and preferences
Utilized predictive modeling techniques to forecast customer lifetime value and likelihood of churn
Developed recommendation systems to personalize product offerings and improve customer engagement
Used A/B testing to ...
I have experience deploying solutions on AWS, Azure, and Google Cloud Platform.
AWS (Amazon Web Services)
Azure
Google Cloud Platform
posted on 5 Feb 2022
I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.
Sql and basis python
Business related case study
posted on 23 Apr 2022
The coding round was relatively easy. A sufficient amount of preparation on LeetCode should be beneficial, along with reviewing the sample questions.
posted on 5 Feb 2024
I applied via Referral and was interviewed in Jan 2024. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.
Python Coding Questions with
Bubble sort example Question using python
Previous projects based questions
posted on 30 Sep 2024
20 MCQ questions related to Data science and 1 coding ML question.
Overfitting and underfitting are common problems in machine learning where a model performs too well on training data but poorly on unseen data, or performs poorly on both training and unseen data due to oversimplification.
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern, leading to poor generalization on unseen data.
Underfitting happens when a model is too simple...
K-fold CV is a technique used to evaluate the performance of a machine learning model by splitting the data into k subsets.
Data is divided into k subsets, with one subset used as the validation set and the rest as training sets.
The process is repeated k times, with each subset used once as the validation data.
The average of the k validation results is used as the final performance metric.
Helps in reducing bias and vari...
posted on 13 May 2024
I applied via Naukri.com and was interviewed before May 2023. There were 4 interview rounds.
2 sections. First, multiple choice questions regarding Ml algo, SQl. Second, ML coding problem.
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