Zomato Territory Sales Manager Interview Questions and Answers

I am a highly motivated and detail-oriented Business Analyst with a strong background in data analysis and problem-solving.

• I have a Bachelor's degree in Business Administration with a focus on analytics.

• I have experience working with cross-functional teams to gather and analyze business requirements.

• I am proficient in using tools such as Excel, SQL, and Tableau for data analysis and visualization.

• I have successfully im...read more

Seeking better growth opportunities and work-life balance.

• Limited growth prospects in previous role

• Lack of work-life balance

• Desire for new challenges and learning opportunities

• Company culture misalignment

• Relocation or commute issues

• Better compensation or benefits elsewhere

Meesho is a leading e-commerce platform that empowers individuals to start their own online businesses.

• Meesho provides a user-friendly platform for individuals to sell products online without any investment.

• It offers a wide range of products from various categories, allowing sellers to cater to different customer preferences.

• Meesho provides extensive training and support to its sellers, helping them succeed in their on...read more

My strength is my analytical skills and attention to detail. My weakness is that I can be overly critical of my own work.

• Strength: Analytical skills

• Strength: Attention to detail

• Weakness: Overly critical of my own work

I want to be in a position where I can contribute to the growth and success of the organization.

• I aspire to be in a role where I can utilize my skills and expertise to drive positive change and make a significant impact.

• I am motivated to work towards achieving the organization's goals and objectives.

• I am eager to take on more responsibilities and challenges to further develop my skills and knowledge.

• I want to be part o...read more

Merge Sort is a divide and conquer algorithm that sorts an array by dividing it into two halves, sorting them separately, and then merging the sorted halves.

• Divide the array into two halves

• Recursively sort the two halves

• Merge the sorted halves

Find pairs of integers in a BST whose sum is equal to a given number.

• Traverse the BST and store the values in a hash set.

• For each node, check if (X - node.value) exists in the hash set.

• If yes, add the pair (node.value, X - node.value) to the result.

• Continue traversal until all nodes are processed.

Merge overlapping time intervals into mutually exclusive intervals.

• Sort the intervals based on their start time.

• Iterate through the intervals and merge overlapping intervals.

• Output the mutually exclusive intervals.

• Example: [(1,3), (2,6), (8,10), (15,18)] -> [(1,6), (8,10), (15,18)]

Different types of hashing and alternative for Linear Chaining

• Different types of hashing include division, multiplication, and universal hashing

• Alternative for Linear Chaining is Open Addressing

• Open Addressing includes Linear Probing, Quadratic Probing, and Double Hashing

An AVL tree is a self-balancing binary search tree where the heights of the left and right subtrees differ by at most one.

• AVL tree is a binary search tree with additional balance factor for each node.

• The balance factor is the difference between the heights of the left and right subtrees.

• Insertion and deletion operations in AVL tree maintain the balance factor to ensure the tree remains balanced.

• Rotations are performed ...read more

Find the minimum number of squares whose sum equals to a given number n.

• Use dynamic programming to solve the problem efficiently.

• Start with finding the square root of n and check if it is a perfect square.

• If not, then try to find the minimum number of squares required for the remaining number.

• Repeat the process until the remaining number becomes 0.

• Return the minimum number of squares required for the given number n.

Insertion sort for a singly linked list.

• Traverse the list and compare each node with the previous nodes

• If the current node is smaller, swap it with the previous node

• Repeat until the end of the list is reached

• Time complexity is O(n^2)