Publication on Harshvardhan

Enterprise-Scale Machine Learning for Demand Forecasting

Sat, 18 Oct 2025 00:00:00 +0000

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.

Wed, 04 Jun 2025 00:00:00 +0000

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

Sat, 31 May 2025 00:00:00 +0000

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

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising

Mon, 07 Aug 2023 16:00:00 +0000

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising

Wed, 07 Jun 2023 00:00:00 +0000

We proposed a novel end-to-end approach, the Neural Lagrangian Selling (NLS) model, to improve Guaranteed Delivery (GD) advertising by concurrently predicting ad impression inventory and optimizing contract allocation. The model incorporates a differentiable Lagrangian layer and a graph convolutional neural network to enable direct optimization of allocation regret and effective handling of various allocation targets and constraints. 🔗 PDF

garlic: Some R Functions I Use Rather Frequently

Sat, 05 Mar 2022 00:00:00 +0000

My personal R package for custom functions

Invento Robotics

Sat, 19 Jun 2021 00:00:00 +0000

Marketing case study on launch of Mitra — a humanoid robot