Data-Driven Approaches to Micromobility Demand Modeling: Paper developing and comparing demand modeling approaches in both urban and suburban areas.

End-to-end NLP pipeline for scraping, predicting, and generating leads from U.S. public job postings to detect third-party data demand. Includes a separate market analysis of trends by agency, role type, and sector (e.g., fraud, health, sentiment).

Jupyter Lite version of demand modelling tool.

New York Yellow Taxi Demand prediction regression DSLS2023 Selection

Calculation of the optimal order volume for a given period, taking into account statistical data on demand for products and taking into account scenarios

An R econometrics project on demand curves for Steam video games

A demand-aware framework, that welcomes constants over predictions, and intentions over impressions. Introducing Expression of Demand and less-predicted producer-consumer scenarios of the new ad-biz.

A SAS analysis project on US housing demand

This repository has the dataset and code underlying the findings described in the following paper: Alsaleh, N., & Farooq, B. (2022). The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities. arXiv preprint arXiv:2201.10961.

Performing Profit Simulation using Breakpoint Method and Profit Optimization using Optimise Function in R given the uncertain demands with unknown data for a hypothetical company named GWS.

Quantitative Insights in Carsharing: Demand, User Preferences, and Profitability.

ChainSim is a C++ library, server and frontend (TS) for simulating and analyzing supply chain inventory management systems. It provides a flexible framework for testing different purchasing policies and analyzing their effectiveness under various conditions.

Machine Learning Demand Model