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.

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

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

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

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.

Predicting Race, Age and Gender from Face: A Small-sample Example with Encoding

Predicting race, age and gender of faces using Variational Autoencoders and Convolutional Neural Networks.

Crafting Conversations with GPT Personalities in Python

Building a customizable chatbot that brings unique characters to life

Supply Chain Analytics at HP Inc.

Forecasting Global Print Demand Using Machine Learning

Cheatsheet on Python

Some things that I’ll likely forget

Supervised Learning Using Baysian Decision Rule

Python Functions for Bayesian Learning (COSC 522 Project)