Customer Segmentation using RFM Analysis

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

Methods for doing customer analytics in R

Exploration, visualization and implementation of machine learning models on customer, transnational other such data of Toyota, Universal Bank, Wayfair, etc (R, SAS and Alteryx)

An end-to-end predictive intelligence platform for SaaS. PredictR integrates automated data pipelines, Tidymodels-based churn & upsell modeling, and interactive Shiny analytics into a fully containerized application.

Statistical analysis of retargeting campaign effectiveness using A/B testing and regression modeling to evaluate customer conversion impact and drive data-driven marketing insights

Customer Churn Prediction using Logistic Regression in R (AUC 0.86)

Statistical and machine learning analysis for predicting insurance purchase behavior

analysing relevant customer data in order to develop customer retention programs