This Python project addresses the increasing rate of motor vehicle collisions by employing a data-driven analysis and leveraging machine learning models. Following a CRISP-DM (Cross-Industry Standard Process for Data Mining) approach, the project aims to provide comprehensive insights into collision patterns, contributing factors, and severity levels.
The project demonstrates the use of R programming for exploratory data analysis and regression modeling in the context of credit card customer data. By leveraging R’s capabilities, the analysis contributes to customer profiling, risk assessment, strategic decision-making, and operational efficiency within the credit card company.
The Online Shopping Management System aims to transform the organization's online shopping operations to enhance customer experience, streamline operations, and drive sales and growth. This strategic initiative involves the design and implementation of a comprehensive database system to manage online product inventory efficiently.
This Tableau project focuses on identifying and profiling ideal customers for a company. The analysis aims to provide insights into customer demographics, purchasing behavior, and preferences. The ultimate goal is to support strategic decision-making in areas such as product development, sales channel optimization, marketing, and operations.