data science project to improve cross selling through consumer ranking.
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Updated
Mar 4, 2021 - Jupyter Notebook
data science project to improve cross selling through consumer ranking.
Magento2 Crosssell Products On Detail Page
Cross the PPI products to those customers who currently don't have one.
Prestashop module to display cross sell and up sell based on module configuration
Pacemaker library providing basic Magento 2 EE product link import functionality
Classification problem - Solved by applying ML models to estimate the probability of purchase.
Identified insights in the ecommerce datasets with "What-If Analysis", and "Up-Sell Strategies", data modeling to EDA, DAX functions, and report design.
This repository contains files and script to develop an interest ranking algorithm, for an Insurance Company. The objective of the project is to reduce the time and costs associated with prospecting customers and, at the same time, increase revenue. (Student Project 4 / DS Community)
Classification (Ranking) Clients Project
Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.
A business-focused Power BI dashboard analyzing ecommerce sales, customer behavior, product profitability, and shipping cost strategies for Comp, a fictional pet supply company. This project showcases advanced DAX modeling, cross-sell and upsell logic, and interactive scenario analysis for executive decision-making.
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