Macchi Trash
A tiny macOS menu-bar app that shows animated flies buzzing around your Trash when it has items.
Page to Markdown
A lightweight browser extension that converts webpages to Markdown, plain text, or downloadable .md files.
Good Sign-Offs / अच्छी विदाइयाँ
2,000+ English email sign-offs from Are.na and 40+ original Hindi sign-offs, in a beautiful randomizer.
Kalam
A native macOS menu-bar app for speech-to-text transcription — completely local, private, and free.
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
TextSage
A Chrome extension that lets you explain or fact-check any selected text with a right-click.
Jailbreaking: Turning My Kindle to A Juggernaut E-Reader
Jailbreaking my Kindle to run Python, draw, and block lockscreen ads.
Artificial Intelligence and Data Sciences in Real-world Business
A quick rundown of my doctoral research presented at the BA Forum 2023
Spotify Randomizer
A new playlist of random songs that I haven’t listened in a while generated automatically every Monday
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
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
A Gentle Introduction to using Support Vector Machines for Classification
Support vector machines (SVM) are remarkable for the unification of geometric theory, elegant mathematics, theoretical guarantees with strong practical use cases. In this blog post, I demonstrate certain properties of SVM and how to use them with caret package in R.
Using GitHub with RStudio
Introduction to using Git & GitHub with RStudio for MS (Business Analytics) Class of Fall 2022
Up and Running with R Markdown
Introduction to R Markdown for MS (Business Analytics) Class of Fall 2022