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I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
I was a Product Manager at a tech startup, responsible for leading the development of a new mobile app.
Led cross-functional teams to define product requirements and roadmap
Conducted market research and user interviews to gather feedback
Worked closely with designers and engineers to deliver a user-friendly app
Managed product launch and post-launch analysis to drive continuous improvement
I have 5 years of experience working in technical roles, including software development and project management.
Worked as a software developer for 3 years, developing web applications using Java and JavaScript.
Managed a team of developers for a year, overseeing project timelines and deliverables.
Collaborated with cross-functional teams to launch a new product, involving coordination between engineering, design, and mark
Top trending discussions
Many about ecom setup
Reduce material cost by optimizing procurement, minimizing waste, and improving production efficiency.
Analyze procurement process to identify cost-saving opportunities
Negotiate with suppliers for better pricing and terms
Implement lean manufacturing principles to minimize waste
Improve production efficiency through automation and process optimization
Explore alternative materials or suppliers
Reduce product complexity to s
To improve contribution margin, focus on increasing revenue and reducing variable costs.
Increase prices or sales volume
Reduce direct material or labor costs
Improve production efficiency
Eliminate unprofitable products or services
Implement cost-saving measures
Negotiate better supplier contracts
I applied via Naukri.com and was interviewed before Aug 2022. There were 2 interview rounds.
Key performance areas include leadership, strategic planning, team management, financial management, and project execution.
Leadership: Ability to inspire and motivate teams towards achieving goals.
Strategic planning: Developing long-term plans to drive business growth.
Team management: Ensuring effective collaboration and communication within the team.
Financial management: Budgeting, forecasting, and monitoring financia...
I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
Binary Search has a time complexity of O(log n) and is derived from dividing the search space in half at each step.
Binary Search is a search algorithm that works on sorted arrays.
It starts by comparing the target value to the middle element of the array.
If the target value is smaller, the search continues on the lower half of the array.
If the target value is larger, the search continues on the upper half of the array.
T...
QuickSort is a sorting algorithm that uses divide and conquer approach.
Choose a pivot element from the array
Partition the array into two sub-arrays, one with elements less than the pivot and one with elements greater than the pivot
Recursively apply the above steps to the sub-arrays
Combine the sorted sub-arrays to get the final sorted array
Code for Fibonacci Series using Recursion, Iteration and Dynamic Programming
Recursion: Define a function that calls itself with the previous two numbers in the series as arguments
Iteration: Use a loop to calculate the series by adding the previous two numbers in each iteration
Dynamic Programming: Store the previous two numbers in variables and use them to calculate the next number in the series
Implementing a Queue using Stacks
Use two stacks to implement a queue
Push elements onto the first stack
When dequeuing, pop all elements from the first stack and push onto the second stack
Pop the top element from the second stack to dequeue
If the second stack is empty, pop all elements from the first stack and push onto the second stack
MergeSort is a divide and conquer algorithm that sorts an array of strings.
Divide the array into two halves
Recursively sort the two halves
Merge the sorted halves
Counting Sort is a sorting algorithm that sorts elements by counting the number of occurrences of each unique element.
Count the occurrences of each element in the array
Calculate the cumulative sum of the counts
Place each element in the sorted array based on its count and cumulative sum
Time complexity is O(n+k) where n is the number of elements and k is the range of input
Example: Sort an array of strings based on their
Chrome uses an algorithm to predict and suggest words based on user input.
Chrome's algorithm uses a combination of user history, bookmarks, and popular searches to predict and suggest words.
The algorithm also takes into account the frequency and recency of the user's input.
Chrome's suggestion feature is powered by Google's Autocomplete API, which uses machine learning to predict and suggest words.
The suggestions are di...
I was interviewed before Apr 2021.
Round duration - 90 minutes
Round difficulty - Medium
This round had 3 coding questions of Medium to Hard level of difficulty.
Given an integer N
representing the number of pairs of parentheses, find all the possible combinations of balanced parentheses using the given number of pairs.
Generate all possible combinations of balanced parentheses for a given number of pairs.
Use recursion to generate all possible combinations of balanced parentheses.
Keep track of the number of open and close parentheses used in each combination.
Return the valid combinations as an array of strings.
You are given a long type array/list ARR
of size N
, representing an elevation map. The value ARR[i]
denotes the elevation of the ith
bar. Your task is to determine th...
Calculate the total amount of rainwater that can be trapped between given elevations in an array.
Iterate through the array and calculate the maximum height on the left and right of each bar.
Calculate the amount of water that can be trapped at each bar by taking the minimum of the maximum heights on the left and right.
Sum up the trapped water at each bar to get the total trapped water for the entire array.
You are given a grid containing oranges where each cell of the grid can contain one of the three integer values:
Find the minimum time required to rot all fresh oranges adjacent to rotten oranges.
Create a queue to store the coordinates of rotten oranges and perform BFS to rot adjacent fresh oranges.
Track the time taken to rot all fresh oranges and return -1 if not all fresh oranges can be rotten.
Update the grid with the new state of oranges after each second.
Handle edge cases such as empty grid or no fresh oranges present.
Example...
Round duration - 60 Minutes
Round difficulty - Medium
This was a standard DS/Algo round where I was given 2 questions to solve under 60 minutes. I was able to come up with the optimal approach for both the questions and then at the end of the interview I was also asked the famous Die Hard Water Puzzle.
Design a queue data structure following the FIFO (First In First Out) principle using only stack instances.
Your task is to complete predefined functions t...
Implement a queue using stacks following FIFO principle.
Use two stacks to simulate a queue.
For enQueue operation, push elements onto stack1.
For deQueue operation, if stack2 is empty, pop all elements from stack1 and push onto stack2, then pop from stack2.
For peek operation, if stack2 is empty, pop all elements from stack1 and push onto stack2, then return top of stack2.
For isEmpty operation, check if both stack1 and st...
You are provided with 'N' intervals, each containing two integers denoting the start time and end time of the interval.
Your task is to merge all overlapping intervals a...
Merge overlapping intervals and return sorted list of merged intervals by start time.
Sort the intervals based on start time.
Iterate through intervals and merge overlapping ones.
Return the merged intervals in sorted order.
Round duration - 60 Minutes
Round difficulty - Medium
This round had 2 coding questions - first one related to Binary Tree and the second one was a simple question from Bit Manipulation. This was followed by some questions from OOPS.
You are given a Binary Tree, and you need to determine the length of the diameter of the tree.
The diameter of a binary tree is the length of the longest path betwe...
The task is to find the diameter of a binary tree, which is the length of the longest path between any two end nodes in the tree.
Traverse the tree to find the longest path between two nodes.
Keep track of the maximum diameter found during traversal.
The diameter may not necessarily pass through the root node.
Consider both left and right subtrees while calculating the diameter.
Example: For input 1 2 3 4 -1 5 6 -1 7 -1 -1
Determine if it is possible to reorder the digits of a given integer 'N' such that the resulting number is a power of two. The leading digit must not be zero.
The fir...
The problem involves determining if it is possible to reorder the digits of a given integer to form a power of 2.
Iterate through all possible permutations of the digits of the given integer.
Check if any of the permutations form a power of 2.
Return 1 if a valid permutation is found, else return 0.
Advantages of OOP include code reusability, modularity, and easier maintenance.
Code reusability: Objects can be reused in different parts of the program, reducing redundancy.
Modularity: OOP allows for breaking down complex problems into smaller, more manageable parts.
Easier maintenance: Changes to one part of the codebase do not necessarily affect other parts, making maintenance easier.
Encapsulation: Data hiding and ab...
Access specifiers define the level of access to class members in Object-Oriented Programming.
Access specifiers include public, private, protected, and default
Public members are accessible from outside the class
Private members are only accessible within the class
Protected members are accessible within the class and its subclasses
Default access is when no access specifier is specified
Round duration - 30 Minutes
Round difficulty - Easy
This was my last round and I hoped it to go good just like the other rounds. The interviewer was very straight to point
and professional. The interview lasted for 30 minutes.
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
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