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​