Analytics & Machine Learning R Sidekick

Analyze and manage Facebook ads from R using this client library to access their Marketing APIs

Easy computation of Marketing Metrics in R

📦 R interface to the Datorama Query & Platform API

Code and data examples included in the book "Marketing Data Science" by Thomas W. Miller.

Research R-1400-02 in Ostadkar Research Lab. in the field of Fulfillment Process Optimization.

📦 R interface to the YouGov BrandIndex API

Marketing Analytics

R code for estimation of latent class logit model with aggregate data

A data-driven communication strategy with Email Engagement Model, Cluster Analysis and Churn Prediction

This project focuses on exploring product recommendations within the realm of luxury fashion resale. It serves as a companion to my thesis of the MSc Marketing Analytics program at TiU.

This projects explores the bank marketing dataset using automatic EDA packages in R.

Developing a data driven customer equity model for a nonprofit organization

mediaPlanR proporciona un conjunto de herramientas para la planificación de medios publicitarios, implementando diversos modelos para estimar la cobertura, distribución de contactos y acumulación.

This is some work I am doing using the hill function to fit saturation curves, primarily used for marketing.

Fiverr Project

This repository contains a full data analysis project for Cyclistic, a fictional bike-share company based in Chicago. As part of the marketing analytics team, the project focuses on understanding how annual members and casual riders differ in their usage behavior.

Rmd file presentation on "Behaviors of DivvyTrips customers, and marketing strategy. (R programing) (data sourced from Coursera)

This repo contains project(s) from the Marketing Analytics course.

This case study is part of the Google Data Analytics Professional Certificate. It focuses on Bellabeat, a wellness brand for women, and provides analysis on smart device usage to inform and refine their marketing strategy. RStudio, a programming tool built for R, was employed to clean, analyse and visualise the data.