This Tableau-based dashboard offers an in-depth analysis of the Top 100 graduate employers. It skillfully visualizes key metrics, including company
rankings and diversity scores, and provides comparative insights across various industry sectors.
This dashboard is an essential tool for understanding the landscape of graduate employment opportunities and the diversity practices within leading organizations.
This project uses supervised machine learning to predict Titanic passenger survival, analyzing passenger attributes to uncover factors influencing survival rates and demonstrating the practical application of supervised learning in real-world scenarios.
In this project, advanced supervised machine learning models in Python are used to predict loan default risks, analyzing key client data to help financial institutions make informed decisions and reduce financial risk in credit lending.
This SQL project creates and manages a business database, covering staff, managers, stores, and contracts. It includes table setup, data insertion, and analytical queries for extracting key business insights.
The project features a collection of dynamic, visually appealing dashboards created in Tableau, designed to visualize and simplify complex data for enhanced business insights and decision-making.