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

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.

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%!

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

Customer analysis on a bike-share program

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

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.

Using a Kernel SVM model 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 95%!

Using a KNN model 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 95%!

This repository containe a customer analytics powerbi dashboard project

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

Customer Segmentation Project

The KPMG Data Analytics Virtual Internship is designed to help you gain a practical insight into the work we do at KPMG and it is an opportunity for you to build your career skills and experience.

Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers

This repository contains a dashboard created using Tableau and you will find details about customer analysis method

Dataset Northwind Mini Project Data Engineering

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.