Jan. 22, 2022, 4:25 p.m. | Samma Hejazi

Towards Data Science - Medium towardsdatascience.com

Introduction

Five digits ZIP code data in USA is one of the most popular model granularity in Supply Chain and Transportation models. We hear sometimes analysts and scientists complain about “missed ZIPs” or inconsistency of ZIP code boundaries. Many of the models suffers from missed ZIP codes and that cause bad accuracy in outputs. In this paper, we are trying to provide a guideline for how to use ZIP code data in planning and forecasting.

Map 1: Spatial representation of …

code data forecasting geospatial-data modeling supply chain us zip

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Management Associate

@ EcoVadis | Ebène, Mauritius

Senior Data Engineer

@ Telstra | Telstra ICC Bengaluru