Dunnhumby Interview Questions and Answers

Q1. How will you find loyal customers for a store like DMart , SmartBazar
Ans. 
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...read more
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Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
Ans. 
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.
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Q3. What will you do as a data scientist if the sales of a store is declining
Ans. 
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
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Q4. We have to bundle the items together in the units of 2-3 as a single units like chips of 3 packets together. how to identify which items to bundle and number of units. Create a machine learning model for i...read more
Ans. 
Develop a machine learning model to identify optimal item bundles of 2-3 units based on features and patterns.
• 1. Data Collection: Gather historical sales data, item features, and customer preferences.

• 2. Feature Engineering: Create features like item popularity, complementary items, and seasonality.

• 3. Clustering: Use clustering algorithms (e.g., K-means) to group similar items based on features.

• 4. Association Rules: App...read more
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Q5. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince them to follow your approach.
Ans. 
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 ...read more
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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?

1. The online test includes questions related to spark and a coding questions.

Q1. Questions related to sql , spark, data structures were asked
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Q2. 1. Questions based on window functions (rank, dense_rank)
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Q1. Overall discussion of the projects that you have worked on.
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A case study was given

Q1. What is regression analysis?
Ans. 
Regression analysis is a statistical method used to examine the relationship between two or more variables.
• It helps in understanding how the value of a dependent variable changes when one or more independent variables are varied.

• It is used to predict the value of the dependent variable based on the values of the independent variables.

• There are different types of regression analysis such as linear regression, logistic r...read more
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Q2. Few questions on python
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Q1. Maximal rectangal
Ans. 
Find the largest rectangle containing only 1s in a binary matrix.
• Use dynamic programming to track heights of consecutive 1s.

• For each row, treat it as a histogram and calculate the maximal rectangle.

• Utilize a stack to efficiently compute the largest rectangle in a histogram.

• Example: For a matrix [[0,1,1],[1,1,0],[1,1,1]], the largest rectangle has area 4.
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Q2. Loop in linked list
Ans. 
Loop in linked list is a situation where a node points to a previous node in the list, creating an infinite loop.
• Check for loops using Floyd's cycle detection algorithm

• Use two pointers, one moving twice as fast as the other, to detect a loop

• If the fast pointer catches up to the slow pointer, there is a loop
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Q1. Basic hr question regarding your project and all
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Q2. He was more interested in what is my thinking pattern
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