Analytics & Machine Learning R Sidekick
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Updated
Oct 5, 2026 - R
Marketing is the practice of connecting products and services with people who can benefit from them. This involves understanding audiences, crafting compelling messages, and choosing the right channels for distribution and engagement.
While the marketing technology landscape is dominated by expensive SaaS platforms, there’s growing interest in open source alternatives for email marketing, customer relationship management, analytics, attribution tracking, and marketing automation. Open source marketing tools offer transparency, customization, and cost-effectiveness that many businesses and developers seek.
With over 1,800 repositories tagged with marketing on GitHub, this community demonstrates the potential for collaborative development of marketing technologies that prioritize user control, data privacy, and accessibility over vendor lock-in.
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
Research R-1400-02 in Ostadkar Research Lab. in the field of Fulfillment Process Optimization.
A data-driven communication strategy with Email Engagement Model, Cluster Analysis and Churn Prediction
R code for estimation of latent class logit model with aggregate data
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.
Aplicação de técnica RFM e K-Means com linguagem R
This projects explores the bank marketing dataset using automatic EDA packages in R.
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.
Example R scripts and synthetic datasets showing how to use confusion matrices to evaluate marketing email models with both balanced and unbalanced data.
This is some work I am doing using the hill function to fit saturation curves, primarily used for marketing.
Measuring the Voice of the Customer for Water Utilities
Auto market segments identification with K-means