Expedia accelerated digital transformation to bring efficiency and innovation

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-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.

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

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