This repository contains my academic marketing and customer data analytics related projects using R and SQL.

This Is a Project About Global Landslides Evaluation & Visualization In Python & Tableau Using NASA Data Source

This Repository is now officially part of Hacktoberfest 2024! FinChart is made with ❤️ and ✨. 👀 historical data in Dashboard.🎆

Healthcare Analysis Report using Tableau: * This report compares the diabetic and non-diabetic patients, with 34.90% being diabetic. * It summarizes the patient's blood pressure, including a count for elevated, high, low, and normal BP patients. * The report also presents the BMI distribution and BMI by Age group for the patients.

This repo contains the code for a dashboard of the World Bank CO2 Emissions' visualizations, developed in Tableau

Analysis of Studio Ghibli film genres to identify the most popular and financially successful ones. Uses Python, Pandas, Tableau, and Jupyter to guide future projects and marketing strategies.

Some final reports from my senior-level case studies course (STA440 at Duke University - Fall 2019)

This web application is designed to display and visualize company sales data through interactive dashboards. The primary focus is on transforming raw data into meaningful visual representations that support decision-making and enhance service quality. The process involves applying data visualization techniques, exploratory data analysis (EDA).

Sprocket Central Pty Ltd is a long-standing KPMG client who specializes in high-quality bikes and accessible cycling accessories to riders. Their marketing team is looking to boost business by analyzing their existing customer dataset to determine customer trends and behavior.

Explore my latest tech portfolio showcasing recent projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects are my initial foray into data science, and I am constantly learning and exploring new ways to use data. Stay tuned for more ambitious projects!

Healthcare

Recruiting_ Sector_Tableau_Dashboard

A team work of a capstone project. The correlation between features were discovered. cost and store sales can be predicted by other store features with random forest regressor and multiple linear regression model. Customer membership card can be predicted with random forest classifier and deep learning models. Tableau was used for visualization.

This repository is used to perform data analysis using Databricks and Tableau on NYC crime datasets