Enterprise-Scale Machine Learning for Demand Forecasting

Our HP Inc. forecasting framework was featured in Foresight: The International Journal of Applied Forecasting (Issue 79, 2025) and recognized as a finalist at the International Institute of Forecasting’s Foresight Conference. 🔗 PDF

Print Demand Forecasting with Machine Learning at HP Inc.

HP Inc. replaced manual and statistical forecasting with a machine learning (LightGBM) model to improve demand prediction accuracy across 18,000+ print products. The model has been deployed enterprise-wide, with demonstrated business value and principles for scaling ML in large organizations. 🔗 PDF

From Data to Decisions: Enterprise Demand Forecasting with Machine Learning

My Ph.D. dissertation (University of Tennessee, 2025) develops a machine-learning-driven demand forecasting framework implemented at HP Inc., improving forecast accuracy by 34% and reducing inventory by 28%. 🔗 PDF

Artificial Intelligence and Data Sciences in Real-world Business

A quick rundown of my doctoral research presented at the BA Forum 2023

ML Forecasting at HP Inc.

Creating ML demand forecast for print products at HP Inc. using LightGBM and pushing it to production for wide adoption.

Supply Chain Analytics at HP Inc.

Forecasting Global Print Demand Using Machine Learning