"On the topic of personalisation the main complexity comes from stitching the data together so that you can create a curated and hopefully personal experience for the consumers (e.g. product offer that match user's interest).
Since the existing technology we use, especially on the app, do not support some of of the BE foundations needed to personalize omni-channel the main complexity is in integrating with the BE services especially creating connected data pipelines. My main contribution is in"
Delyan P. - "On the topic of personalisation the main complexity comes from stitching the data together so that you can create a curated and hopefully personal experience for the consumers (e.g. product offer that match user's interest).
Since the existing technology we use, especially on the app, do not support some of of the BE foundations needed to personalize omni-channel the main complexity is in integrating with the BE services especially creating connected data pipelines. My main contribution is in"See full answer
"LinkedIn is a Corporate/Professional Networking platform. We will analyze the following factors before the launch:
How many people of the demography are on LinkedIn
I will make sure Learning platform content is approved, verified and required for interviewing for a specific role in a corporate
Create a Learning Community where people who opt for the LinkedIn learning platform share their experience of the completed course and how it helped them get an interview opportunity with the comp"
Akshat A. - "LinkedIn is a Corporate/Professional Networking platform. We will analyze the following factors before the launch:
How many people of the demography are on LinkedIn
I will make sure Learning platform content is approved, verified and required for interviewing for a specific role in a corporate
Create a Learning Community where people who opt for the LinkedIn learning platform share their experience of the completed course and how it helped them get an interview opportunity with the comp"See full answer
"LinkedIn is a pioneer in the tech industry brining global workforce together. LinkedIn is one of the few companies where you can work on the latest tech stack but also work on meaningful and high impact product problems, processes issues and Customer experiences that I can very well relate with. It a place where people from all over the world can connect, Innovate and celebrate their careers.
I feel excited about the opportunity as it fully aligns perfectly with my desire to expand, Connect,"
Divya S. - "LinkedIn is a pioneer in the tech industry brining global workforce together. LinkedIn is one of the few companies where you can work on the latest tech stack but also work on meaningful and high impact product problems, processes issues and Customer experiences that I can very well relate with. It a place where people from all over the world can connect, Innovate and celebrate their careers.
I feel excited about the opportunity as it fully aligns perfectly with my desire to expand, Connect,"See full answer
"Identify the problems and list down, showcase the benefits and what stakeholders will get out of analytics platform, how proposed tool can support the org strategy goals and can achieve more faster, how the analytics tool will solve the existing problems"
Ameet A. - "Identify the problems and list down, showcase the benefits and what stakeholders will get out of analytics platform, how proposed tool can support the org strategy goals and can achieve more faster, how the analytics tool will solve the existing problems"See full answer
Behavioral
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"I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"
Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer
"function isPalindrome(s, start, end) {
while (s[start] === s[end] && end >= start) {
start++;
end--;
}
return end <= start;
}
function longestPalindromicSubstring(s) {
let longestPalindrome = '';
for (let i=0; i < s.length; i++) {
let j = s.length-1;
while (s[i] !== s[j] && i <= j) {
j--;
}
if (s[i] === s[j]) {
if (isPalindrome(s, i, j)) {
const validPalindrome = s.substring(i, j+1"
Tiago R. - "function isPalindrome(s, start, end) {
while (s[start] === s[end] && end >= start) {
start++;
end--;
}
return end <= start;
}
function longestPalindromicSubstring(s) {
let longestPalindrome = '';
for (let i=0; i < s.length; i++) {
let j = s.length-1;
while (s[i] !== s[j] && i <= j) {
j--;
}
if (s[i] === s[j]) {
if (isPalindrome(s, i, j)) {
const validPalindrome = s.substring(i, j+1"See full answer
"Make current as root.
2 while current is not null,
if p and q are less than current,
go left.
If p and q are greater than current,
go right.
else return current.
return null"
Vaibhav D. - "Make current as root.
2 while current is not null,
if p and q are less than current,
go left.
If p and q are greater than current,
go right.
else return current.
return null"See full answer
"Basic Approach
As BST inorder traversal will result in a sequence of increasing order. Store that order in a vector and get the k-1 index to get the Kth smallest element, similarly access the N-K+1 th element will be the Kth largest element
Time Complexity: O(n)
Space Complexity O(n)
Space Optimized Approach
For Kth smallest , start inorder traversal, and keep a counter, decrement the counter when you access the node element. When the counter turns 0 that elementwill be the Kth smal"
Saurabh S. - "Basic Approach
As BST inorder traversal will result in a sequence of increasing order. Store that order in a vector and get the k-1 index to get the Kth smallest element, similarly access the N-K+1 th element will be the Kth largest element
Time Complexity: O(n)
Space Complexity O(n)
Space Optimized Approach
For Kth smallest , start inorder traversal, and keep a counter, decrement the counter when you access the node element. When the counter turns 0 that elementwill be the Kth smal"See full answer