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I applied via Referral and was interviewed in Oct 2024.Ā There were 2 interview rounds.
Different techniques include cost-plus pricing, value-based pricing, competitive pricing, and dynamic pricing.
Cost-plus pricing involves adding a markup to the cost of production.
Value-based pricing sets prices based on the perceived value to the customer.
Competitive pricing involves setting prices based on competitors' prices.
Dynamic pricing adjusts prices in real-time based on demand, competition, and other factors.
To create a dashboard in Power BI for larger data, use data modeling, optimize data loading, utilize DAX calculations, and design visually appealing visuals.
Utilize data modeling to structure and organize large datasets efficiently
Optimize data loading by using query folding and reducing unnecessary data
Leverage DAX calculations for complex calculations and measures
Design visually appealing visuals using various chart
If selected, I will utilize my analytical skills to optimize pricing strategies and drive profitability.
Conduct thorough market research to understand competitive pricing landscape
Analyze pricing data to identify opportunities for price adjustments
Collaborate with cross-functional teams to implement pricing strategies
Monitor pricing performance and make recommendations for improvements
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I am a highly skilled System Engineer with expertise in designing and implementing complex systems.
Experienced in managing and troubleshooting network infrastructure
Proficient in virtualization technologies such as VMware and Hyper-V
Strong knowledge of operating systems like Windows and Linux
Familiar with scripting languages like PowerShell and Bash
Excellent problem-solving and communication skills
Yes, I have experience working in teams.
I have worked on several group projects during my studies.
I have collaborated with colleagues to solve complex technical problems.
I have participated in cross-functional teams to implement system upgrades.
I have also been part of agile development teams, working closely with software engineers and testers.
One example of teamwork is when I led a team of engineers to successfully d
Find sum of all numbers formed from root to leaf path in a binary tree
Traverse the binary tree using DFS
At each leaf node, add the number formed from root to leaf path to a sum variable
Return the sum variable
Time complexity: O(n)
Example: For a binary tree with root value 1, left child 2 and right child 3, the sum would be 12 + 13 = 25
Given a string, print all possible strings that can be made by placing spaces (zero or one) in between them.
Use recursion to generate all possible combinations of spaces
For each recursive call, either add a space or don't add a space between the current character and the next character
Base case is when there are no more characters left to add spaces between
Time complexity is O(2^n) where n is the length of the string
Preorder traversal without recursion
Use a stack to keep track of nodes
Push right child first and then left child onto stack
Pop top of stack and print value
Repeat until stack is empty
Find longest continuous patch on a 12 km road with updates in patches
Maintain a variable to keep track of current patch length
Update the variable whenever a new patch is added
Maintain a variable to keep track of longest patch so far
Compare current patch length with longest patch length and update if necessary
Use a sorted data structure like a binary search tree to store the patches for efficient search
Time complexity: ...
Find median of an unsorted array.
Sort the array and find the middle element
Use quickselect algorithm to find the median in O(n) time
If the array is small, use brute force to find the median
Find 'k' elements closest to a given number from a stream of characters.
Use a priority queue to keep track of closest elements.
Update the queue as new characters come in.
Return the 'k' closest elements from the queue.
Design a data structure with O(1) insert, remove, find-max, and delete-max operations.
Use a doubly linked list to maintain the elements in sorted order.
Use a hash table to store the pointers to the nodes in the linked list.
Maintain a pointer to the maximum element in the hash table.
Update the pointers in the hash table when inserting or removing elements.
Update the maximum pointer when deleting or inserting the maximum
Check if a given linked list is a palindrome.
Traverse the linked list and store the values in an array.
Compare the first and last elements of the array, then move towards the center.
If all elements match, the linked list is a palindrome.
Alternatively, use two pointers to find the middle of the linked list and reverse the second half.
Compare the first half with the reversed second half to check for a palindrome.
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