Carlos Rodriguez Calderon

Learning Developer (Mathematics and Statistics, FST/FHM), PhD (Integrated) student

Research Overview

My interest is to explore a particular machine learning algorithm, a lazy learner, k-Nearest Neighbour (k-NN) as a valid alternative for retail demand forecasting: its advantages regarding classical statistical methods like linear regression and some of its complexities, as the extrapolation scenario and the forecast reliability.

Lancaster Intellectual Party 2023
Participation in conference -Mixed Audience

World Scientific Publishing Co. (Publisher)
Publication peer-review

SAP Solution Consultant

Premio ANR 2012
Prize (including medals and awards)

  • Centre for Marketing Analytics & Forecasting