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%!
Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.
Customer analysis on a bike-share program
Submission for the Data Analytics Program offered by KPMG Australia via Forage.
Gofood Exploratory Data Analysis and WordCloud (category,product,etc)
Understood customer behavior based on their transaction history.
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.
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
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%!
A Tableau sales and customer analysis dashboard showcasing sales trends, KPIs, and customer insights using Non-EU dataset.
Using fuzzy c-means and k-means to analyze customer personality data
This repository highlights my ability to perform Data Analysis and Dashboard Creation using Power BI.
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