Projects

Movie Success Correlation Project

• Pandas
• Numpy
• Matplotlib
• Seaborn

What makes a film successful in regards to it's gross revenue? This project will analyse trends within the data, looking specifically at what influences a high grossing film.

Data Cleaning with SQL

• MySQL

Putting my SQL data cleaning skills to the test, including:

Querying data from a table, Using Operators, Managing Tables, Modifying Data, Create Tabe Expressions, Window Functions, Aggregate Functions.

Visualisations of COVID-19 Study

• Tableau
• MySQL

This is a data visualisation project, based on the covid data prepared from my previous SQL project. I created more data comparison insights in MySQL to then export into Tableau, where insights of global infection and death rates were studied, alongside trends and projections.

COVID-19 Data Analysis

• MySQL
• Excel
• Pandas

This project explores global COVID-19 data (2019–2021) using MySQL to perform data cleaning, transformation, and analysis. Pandas was used for part of the data cleaning (removing NAN). Excel and Numbers were used for splitting and exporting the data for analysis in MySQL Workbench. The goal was to extract meaningful insights, such as infection case counts, death rates, vaccination count and continent-level trends, which was later visualised in Tableau, as part of a separate data visualisation project.

Data Analyst Job Findings

• Pandas
• Matplotlib
• Seaborn

Using a dataset of LinkedIn EU job postings (2023), I explored entry-level Data Analyst roles to uncover trends in the most in-demand tools and programming languages. This project highlights how real job market data can guide career development and targeted learning for aspiring data professionals.