This machine learning is made to fulfill the final project of Rakamin Academy Bootcamp of Data Science Batch 32

Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

Give a Marketing strategy to bank using dataset available on kaggle.

A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.

A Data Science Machine Learning approach to predict the best candidates to be targeted for a marketing campaign

Project 3 of Udacity's Machine Learning Engineer Nanodegree program.

Final project for the Udacity Machine Learning Engineer Nanodegree. Customer Segmentation, based on regional demographic and customer data. Supervised Learning Techniques applied for customer acquisition..

Analyzing Portugal bank marketing campaigns results

Case study analysis on a bank marketing dataset to discover how to increase ROI for future marketing campaigns.

This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning.

Campaign Performance Analysis This project analyzes the performance of Spring, Summer, and Fall marketing campaigns, revealing key insights and actionable recommendations.

Open-source AI marketing campaign automation: describe your business once, get a complete cross-channel campaign (email, WhatsApp, Instagram) for the next 45 days, in five minutes.

Implementation of A/B testing in a study of a fast-food restaurant aiming to identify which marketing strategy is most successful in generating the highest sales of their new product.

An ML model for optimizing investment in a marketing campaign

This project aims to investigate out of three promotional campaign, which one performs the best in terms of generating sales. To this end, this project utilizes an A/B testing approach.

I automatically generated keywords for a search engine marketing campaign using Python.

Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.

I share my completed projects here - Mostly stuffs related to the Music Industry. www.brendanrhchua.com

In this project I used K-Means and data analysis to predict customer personalities and boost marketing campaigns, resulting in a significant improvement in marketing ROI. It utilized customer behavior data to segment them into distinct clusters, enabling personalized marketing strategies for each group, achieving higher conversion rates and ROI.