Develop data products aimed at improving business results on a continuous and regular basis, using supervised and unsupervised machine learning methodology.
This repository contains the next solutions:
Generate a solution that improves the conversion rate of sales leads through predictive customer segmentation and lead scoring models, allowing salespeople to focus on potential customers that contribute to obtaining more income for the business.
Generate a sales forecasting solution for a large distributor in the food sector with the purpose of contributing to the reduction of warehouse costs and increasing income by reducing stockouts, through the development of machine learning models that project sales in the next 8 days at the store-product level.
Project the Expected Loss(EL) when granting a bank loan, with the purpose of evaluating the risk before providing it to the client, using machine learning models with a risk scoring approach.