Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.
This repository containe a customer analytics powerbi dashboard project
The following analysis came from a sample sales data set. I explored several categories based on revenue and created an interactive dashboard.
Understood customer behavior based on their transaction history.
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
Personal projects 1 & 2
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.
Customer Segmentation Project
Leveraging K-Means clustering for insightful customer segmentation, enabling businesses to tailor products to specific customer types.
K-Means Clustering Projects: Explore image segmentation and customer segmentation using K-Means.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
This repo is about analytics for optimizing your business's top customers and products.
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.
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.
SegmentWise: Unveiling Customer Insights for Exploratory Data Analysis (EDA) and Customer Segmentation
Submission for the Data Analytics Program offered by KPMG Australia via Forage.
Customer Analytics in R
Used sales data from CSV file to create tables and which were later combined to form an interactive and comprehensive dashboard in Tableau
Bank Marketing Campaign Analysis to highlight the customers profile and targeted campaign success factors
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