Expedia accelerated digital transformation to bring efficiency and innovation
Case Study
Expedia accelerated digital transformation to bring efficiency and innovation
Business Problem
Expedia - Increase Diversity & Improve Data Quality
Expedia needed an AI partner that could build Machine Learning models using their HR data combine with outside world dataset.
Expedia wants to increase Gender diversity at organizational level on each department and on each job profile.
Expedia wants to identify attracted candidates by Age on each job profile
Expedia - Increase Diversity & Improve Data Quality
Expedia-Recruitment team wants to improve their recruiting KPIs.
They saw and opportunity to potentially use AI to improve the hiring rate of their pipeline of candidates.
PeopleTech suggested we could identify different ways to make use of runner-up candidates.
Solution
PeopleTech has developed HCM data model integrated with Recruitment in HRDW and candidate / employee relationship
HR data is collected from many different apps and data sources around the globe. Hence, it has ~23% missing / incorrect data.
PeopleTech identified strong signal data features for each use cases. EDA revealed many important insights and patterns about the dataset.
PeopleTech consumed Census (around the globe), LinkedIn and other open datasets, which helped to achieve the best prediction.
Deep Learning Algorithms (RNN, LSTM) and Tensor Flow were used for development
PeopleTech team identified important data elements from HR, Recruitment and Engineering Projects
Outcome
Expedia – Increase Diversity & Improve Data Quality
Exploratory Data Analysis revealed many important insights and patterns on the combined dataset
Successfully achieved over 92% Accuracy in key use cases which surpassed expectations. The resulting clean dataset was utilized to drive diversity initiatives
Expedia – Recommendation System
Deep Reinforcement learning helped to achieve ~91% confidence level over a period