A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

This repository contains the data source and the tableau workbook used in my YouTube video: https://www.youtube.com/watch?v=_qReGTOrKTk

Customer Personality Analysis Using Clustering

A Python-based repo for modeling and predicting customer behavior. This project focuses on implementing various statistical and probabilistic models to analyze customer preferences, purchase patterns, and future actions.

Explore the world of data-driven customer analysis and lifetime value estimation. This project dives into customer segmentation, geographic analysis, time series insights, stock trends, and product descriptions. Join us on our journey of data exploration and optimization.

Dive into the world of customer retention with this GitHub repository, Utilizing the power of tools like Power BI and Python libraries such as Numpy, Seaborn, and Tidyverse, we explore the factors driving customer churn and pinpoint their impact areas.

Gofood Exploratory Data Analysis and WordCloud (category,product,etc)

Submission for the Data Analytics Program offered by KPMG Australia via Forage.

Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.

Performed Recency, Frequency, and Monetary (RFM) analysis to classify customers into meaningful segments, supporting personalized marketing and retention strategies.

Business Intelligence analysis of SaaS customer acquisition patterns and data quality audit using Python and Pandas.

Find common customers between two branches using intersection algorithm

Using Logistic regression to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of above 92%!

This is a Tableau project for data analytics where I have created a dashboard that compiles various sheets that are insights of customer json data. The dashboard is dynamic and varied. It can be extracted as a pdf.

By understanding and predicting CLV, PT Asuransi Mobil Sejahtera can make better decisions about how much they should invest in customer acquisition and retention, as well as how they can improve customer satisfaction to increase CLV.

Customer analysis on a bike-share program

This Power BI dashboard provides a comprehensive view of revenue performance, profit margins, and customer insights. It helps businesses track key financial metrics, analyze customer contributions, and monitor revenue trends across different equipment and manufacturers.

Interactive Excel dashboard analyzing global e-commerce sales, profit, shipping, and customer performance with visual insights.

This repository contains my beginner-level Power BI dashboards, created during my learning journey in data visualization. Each project focuses on building interactive reports, exploring key Power BI features, and applying DAX formulas for insights and calculations. It reflects my progress in learning data modeling, relationships, and performance op

This repository contains a data science project aimed at analyzing customer behavior and classifying them based on their likelihood to accept marketing campaigns. Additionally, the project involves clustering customers into different segments for targeted marketing strategies.